Overview

Brought to you by YData

Dataset statistics

Number of variables122
Number of observations307511
Missing cells9152465
Missing cells (%)24.4%
Total size in memory96.5 MiB
Average record size in memory329.0 B

Variable types

Numeric106
Categorical16

Alerts

ORGANIZATION_TYPE has a high cardinality: 58 distinct values High cardinality
NAME_CONTRACT_TYPE is highly imbalanced (54.6%) Imbalance
NAME_TYPE_SUITE is highly imbalanced (66.1%) Imbalance
NAME_EDUCATION_TYPE is highly imbalanced (52.8%) Imbalance
NAME_HOUSING_TYPE is highly imbalanced (72.1%) Imbalance
HOUSETYPE_MODE is highly imbalanced (90.8%) Imbalance
EMERGENCYSTATE_MODE is highly imbalanced (89.1%) Imbalance
OWN_CAR_AGE has 202929 (66.0%) missing values Missing
OCCUPATION_TYPE has 96391 (31.3%) missing values Missing
EXT_SOURCE_1 has 173378 (56.4%) missing values Missing
EXT_SOURCE_3 has 60965 (19.8%) missing values Missing
APARTMENTS_AVG has 156061 (50.7%) missing values Missing
BASEMENTAREA_AVG has 179943 (58.5%) missing values Missing
YEARS_BEGINEXPLUATATION_AVG has 150007 (48.8%) missing values Missing
YEARS_BUILD_AVG has 204488 (66.5%) missing values Missing
COMMONAREA_AVG has 214865 (69.9%) missing values Missing
ELEVATORS_AVG has 163891 (53.3%) missing values Missing
ENTRANCES_AVG has 154828 (50.3%) missing values Missing
FLOORSMAX_AVG has 153020 (49.8%) missing values Missing
FLOORSMIN_AVG has 208642 (67.8%) missing values Missing
LANDAREA_AVG has 182590 (59.4%) missing values Missing
LIVINGAPARTMENTS_AVG has 210199 (68.4%) missing values Missing
LIVINGAREA_AVG has 154350 (50.2%) missing values Missing
NONLIVINGAPARTMENTS_AVG has 213514 (69.4%) missing values Missing
NONLIVINGAREA_AVG has 169682 (55.2%) missing values Missing
APARTMENTS_MODE has 156061 (50.7%) missing values Missing
BASEMENTAREA_MODE has 179943 (58.5%) missing values Missing
YEARS_BEGINEXPLUATATION_MODE has 150007 (48.8%) missing values Missing
YEARS_BUILD_MODE has 204488 (66.5%) missing values Missing
COMMONAREA_MODE has 214865 (69.9%) missing values Missing
ELEVATORS_MODE has 163891 (53.3%) missing values Missing
ENTRANCES_MODE has 154828 (50.3%) missing values Missing
FLOORSMAX_MODE has 153020 (49.8%) missing values Missing
FLOORSMIN_MODE has 208642 (67.8%) missing values Missing
LANDAREA_MODE has 182590 (59.4%) missing values Missing
LIVINGAPARTMENTS_MODE has 210199 (68.4%) missing values Missing
LIVINGAREA_MODE has 154350 (50.2%) missing values Missing
NONLIVINGAPARTMENTS_MODE has 213514 (69.4%) missing values Missing
NONLIVINGAREA_MODE has 169682 (55.2%) missing values Missing
APARTMENTS_MEDI has 156061 (50.7%) missing values Missing
BASEMENTAREA_MEDI has 179943 (58.5%) missing values Missing
YEARS_BEGINEXPLUATATION_MEDI has 150007 (48.8%) missing values Missing
YEARS_BUILD_MEDI has 204488 (66.5%) missing values Missing
COMMONAREA_MEDI has 214865 (69.9%) missing values Missing
ELEVATORS_MEDI has 163891 (53.3%) missing values Missing
ENTRANCES_MEDI has 154828 (50.3%) missing values Missing
FLOORSMAX_MEDI has 153020 (49.8%) missing values Missing
FLOORSMIN_MEDI has 208642 (67.8%) missing values Missing
LANDAREA_MEDI has 182590 (59.4%) missing values Missing
LIVINGAPARTMENTS_MEDI has 210199 (68.4%) missing values Missing
LIVINGAREA_MEDI has 154350 (50.2%) missing values Missing
NONLIVINGAPARTMENTS_MEDI has 213514 (69.4%) missing values Missing
NONLIVINGAREA_MEDI has 169682 (55.2%) missing values Missing
FONDKAPREMONT_MODE has 210295 (68.4%) missing values Missing
HOUSETYPE_MODE has 154297 (50.2%) missing values Missing
TOTALAREA_MODE has 148431 (48.3%) missing values Missing
WALLSMATERIAL_MODE has 156341 (50.8%) missing values Missing
EMERGENCYSTATE_MODE has 145755 (47.4%) missing values Missing
AMT_REQ_CREDIT_BUREAU_HOUR has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_DAY has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_WEEK has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_MON has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_QRT has 41519 (13.5%) missing values Missing
AMT_REQ_CREDIT_BUREAU_YEAR has 41519 (13.5%) missing values Missing
AMT_INCOME_TOTAL is highly skewed (γ1 = 391.5596541) Skewed
FLAG_MOBIL is highly skewed (γ1 = -554.5367436) Skewed
FLAG_CONT_MOBILE is highly skewed (γ1 = -23.08117235) Skewed
FLAG_DOCUMENT_2 is highly skewed (γ1 = 153.7918174) Skewed
FLAG_DOCUMENT_4 is highly skewed (γ1 = 110.8943644) Skewed
FLAG_DOCUMENT_7 is highly skewed (γ1 = 72.17410795) Skewed
FLAG_DOCUMENT_10 is highly skewed (γ1 = 209.5890537) Skewed
FLAG_DOCUMENT_12 is highly skewed (γ1 = 392.1147791) Skewed
FLAG_DOCUMENT_15 is highly skewed (γ1 = 28.69933309) Skewed
FLAG_DOCUMENT_17 is highly skewed (γ1 = 61.21414027) Skewed
FLAG_DOCUMENT_19 is highly skewed (γ1 = 40.95613431) Skewed
FLAG_DOCUMENT_20 is highly skewed (γ1 = 44.3648968) Skewed
FLAG_DOCUMENT_21 is highly skewed (γ1 = 54.61293914) Skewed
AMT_REQ_CREDIT_BUREAU_DAY is highly skewed (γ1 = 27.04350471) Skewed
AMT_REQ_CREDIT_BUREAU_QRT is highly skewed (γ1 = 134.3657684) Skewed
SK_ID_CURR has unique values Unique
TARGET has 282686 (91.9%) zeros Zeros
CNT_CHILDREN has 215371 (70.0%) zeros Zeros
FLAG_EMP_PHONE has 55386 (18.0%) zeros Zeros
FLAG_WORK_PHONE has 246203 (80.1%) zeros Zeros
FLAG_PHONE has 221080 (71.9%) zeros Zeros
FLAG_EMAIL has 290069 (94.3%) zeros Zeros
REG_REGION_NOT_LIVE_REGION has 302854 (98.5%) zeros Zeros
REG_REGION_NOT_WORK_REGION has 291899 (94.9%) zeros Zeros
LIVE_REGION_NOT_WORK_REGION has 295008 (95.9%) zeros Zeros
REG_CITY_NOT_LIVE_CITY has 283472 (92.2%) zeros Zeros
REG_CITY_NOT_WORK_CITY has 236644 (77.0%) zeros Zeros
LIVE_CITY_NOT_WORK_CITY has 252296 (82.0%) zeros Zeros
BASEMENTAREA_AVG has 14745 (4.8%) zeros Zeros
COMMONAREA_AVG has 8442 (2.7%) zeros Zeros
ELEVATORS_AVG has 85718 (27.9%) zeros Zeros
LANDAREA_AVG has 15600 (5.1%) zeros Zeros
NONLIVINGAPARTMENTS_AVG has 54549 (17.7%) zeros Zeros
NONLIVINGAREA_AVG has 58735 (19.1%) zeros Zeros
BASEMENTAREA_MODE has 16598 (5.4%) zeros Zeros
COMMONAREA_MODE has 9690 (3.2%) zeros Zeros
ELEVATORS_MODE has 89498 (29.1%) zeros Zeros
FLOORSMAX_MODE has 3415 (1.1%) zeros Zeros
LANDAREA_MODE has 17453 (5.7%) zeros Zeros
NONLIVINGAPARTMENTS_MODE has 59255 (19.3%) zeros Zeros
NONLIVINGAREA_MODE has 67126 (21.8%) zeros Zeros
BASEMENTAREA_MEDI has 14991 (4.9%) zeros Zeros
COMMONAREA_MEDI has 8691 (2.8%) zeros Zeros
ELEVATORS_MEDI has 87026 (28.3%) zeros Zeros
LANDAREA_MEDI has 15919 (5.2%) zeros Zeros
NONLIVINGAPARTMENTS_MEDI has 56097 (18.2%) zeros Zeros
NONLIVINGAREA_MEDI has 60954 (19.8%) zeros Zeros
OBS_30_CNT_SOCIAL_CIRCLE has 163910 (53.3%) zeros Zeros
DEF_30_CNT_SOCIAL_CIRCLE has 271324 (88.2%) zeros Zeros
OBS_60_CNT_SOCIAL_CIRCLE has 164666 (53.5%) zeros Zeros
DEF_60_CNT_SOCIAL_CIRCLE has 280721 (91.3%) zeros Zeros
DAYS_LAST_PHONE_CHANGE has 37672 (12.3%) zeros Zeros
FLAG_DOCUMENT_2 has 307498 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_3 has 89171 (29.0%) zeros Zeros
FLAG_DOCUMENT_4 has 307486 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_5 has 302863 (98.5%) zeros Zeros
FLAG_DOCUMENT_6 has 280433 (91.2%) zeros Zeros
FLAG_DOCUMENT_7 has 307452 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_8 has 282487 (91.9%) zeros Zeros
FLAG_DOCUMENT_9 has 306313 (99.6%) zeros Zeros
FLAG_DOCUMENT_10 has 307504 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_11 has 306308 (99.6%) zeros Zeros
FLAG_DOCUMENT_12 has 307509 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_13 has 306427 (99.6%) zeros Zeros
FLAG_DOCUMENT_14 has 306608 (99.7%) zeros Zeros
FLAG_DOCUMENT_15 has 307139 (99.9%) zeros Zeros
FLAG_DOCUMENT_16 has 304458 (99.0%) zeros Zeros
FLAG_DOCUMENT_17 has 307429 (> 99.9%) zeros Zeros
FLAG_DOCUMENT_18 has 305011 (99.2%) zeros Zeros
FLAG_DOCUMENT_19 has 307328 (99.9%) zeros Zeros
FLAG_DOCUMENT_20 has 307355 (99.9%) zeros Zeros
FLAG_DOCUMENT_21 has 307408 (> 99.9%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_HOUR has 264366 (86.0%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_DAY has 264503 (86.0%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_WEEK has 257456 (83.7%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_MON has 222233 (72.3%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_QRT has 215417 (70.1%) zeros Zeros
AMT_REQ_CREDIT_BUREAU_YEAR has 71801 (23.3%) zeros Zeros

Reproduction

Analysis started2025-03-25 03:06:05.989448
Analysis finished2025-03-25 03:06:08.079253
Duration2.09 seconds
Software versionydata-profiling vv4.15.1
Download configurationconfig.json

Variables

SK_ID_CURR
Real number (ℝ)

Unique 

Distinct307511
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278180.5186
Minimum100002
Maximum456255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:08.126445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum100002
5-th percentile117945.5
Q1189145.5
median278202
Q3367142.5
95-th percentile438427.5
Maximum456255
Range356253
Interquartile range (IQR)177997

Descriptive statistics

Standard deviation102790.1753
Coefficient of variation (CV)0.3695088926
Kurtosis-1.198987778
Mean278180.5186
Median Absolute Deviation (MAD)88999
Skewness-0.001200235077
Sum8.554356945 × 1010
Variance1.056582015 × 1010
MonotonicityStrictly increasing
2025-03-25T05:06:08.214577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100002 1
 
< 0.1%
337664 1
 
< 0.1%
337661 1
 
< 0.1%
337660 1
 
< 0.1%
337659 1
 
< 0.1%
337658 1
 
< 0.1%
337657 1
 
< 0.1%
337656 1
 
< 0.1%
337655 1
 
< 0.1%
337654 1
 
< 0.1%
Other values (307501) 307501
> 99.9%
ValueCountFrequency (%)
100002 1
< 0.1%
100003 1
< 0.1%
100004 1
< 0.1%
100006 1
< 0.1%
100007 1
< 0.1%
ValueCountFrequency (%)
456255 1
< 0.1%
456254 1
< 0.1%
456253 1
< 0.1%
456252 1
< 0.1%
456251 1
< 0.1%

TARGET
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08072881946
Minimum0
Maximum1
Zeros282686
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:08.276546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2724186456
Coefficient of variation (CV)3.37449064
Kurtosis7.475109389
Mean0.08072881946
Median Absolute Deviation (MAD)0
Skewness3.078158666
Sum24825
Variance0.0742119185
MonotonicityNot monotonic
2025-03-25T05:06:08.324586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 282686
91.9%
1 24825
 
8.1%
ValueCountFrequency (%)
0 282686
91.9%
1 24825
 
8.1%
ValueCountFrequency (%)
1 24825
 
8.1%
0 282686
91.9%

NAME_CONTRACT_TYPE
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
Cash loans
278232 
Revolving loans
29279 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCash loans
2nd rowCash loans
3rd rowRevolving loans
4th rowCash loans
5th rowCash loans

Common Values

ValueCountFrequency (%)
Cash loans 278232
90.5%
Revolving loans 29279
 
9.5%

Common Values (Plot)

2025-03-25T05:06:08.363151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

CODE_GENDER
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
F
202448 
M
105059 
XNA
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowF
3rd rowM
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
F 202448
65.8%
M 105059
34.2%
XNA 4
 
< 0.1%

Common Values (Plot)

2025-03-25T05:06:08.394678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

FLAG_OWN_CAR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
N
202924 
Y
104587 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowY
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 202924
66.0%
Y 104587
34.0%

Common Values (Plot)

2025-03-25T05:06:08.427718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

FLAG_OWN_REALTY
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
Y
213312 
N
94199 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y 213312
69.4%
N 94199
30.6%

Common Values (Plot)

2025-03-25T05:06:08.456957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

CNT_CHILDREN
Real number (ℝ)

Zeros 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4170517477
Minimum0
Maximum19
Zeros215371
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:08.497566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7221213844
Coefficient of variation (CV)1.731491088
Kurtosis7.904106359
Mean0.4170517477
Median Absolute Deviation (MAD)0
Skewness1.97460447
Sum128248
Variance0.5214592939
MonotonicityNot monotonic
2025-03-25T05:06:08.567692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 215371
70.0%
1 61119
 
19.9%
2 26749
 
8.7%
3 3717
 
1.2%
4 429
 
0.1%
5 84
 
< 0.1%
6 21
 
< 0.1%
7 7
 
< 0.1%
14 3
 
< 0.1%
8 2
 
< 0.1%
Other values (5) 9
 
< 0.1%
ValueCountFrequency (%)
0 215371
70.0%
1 61119
 
19.9%
2 26749
 
8.7%
3 3717
 
1.2%
4 429
 
0.1%
ValueCountFrequency (%)
19 2
< 0.1%
14 3
< 0.1%
12 2
< 0.1%
11 1
 
< 0.1%
10 2
< 0.1%

AMT_INCOME_TOTAL
Real number (ℝ)

Skewed 

Distinct2548
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168797.9193
Minimum25650
Maximum117000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 MiB
2025-03-25T05:06:08.656169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25650
5-th percentile67500
Q1112500
median147150
Q3202500
95-th percentile337500
Maximum117000000
Range116974350
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation237123.1463
Coefficient of variation (CV)1.404775291
Kurtosis191786.5544
Mean168797.9193
Median Absolute Deviation (MAD)43650
Skewness391.5596541
Sum5.190721696 × 1010
Variance5.62273865 × 1010
MonotonicityNot monotonic
2025-03-25T05:06:08.749661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135000 35750
 
11.6%
112500 31019
 
10.1%
157500 26556
 
8.6%
180000 24719
 
8.0%
90000 22483
 
7.3%
225000 20698
 
6.7%
202500 16341
 
5.3%
67500 11147
 
3.6%
270000 10827
 
3.5%
81000 6001
 
2.0%
Other values (2538) 101970
33.2%
ValueCountFrequency (%)
25650 2
 
< 0.1%
26100 3
 
< 0.1%
26460 1
 
< 0.1%
26550 2
 
< 0.1%
27000 66
< 0.1%
ValueCountFrequency (%)
117000000 1
< 0.1%
18000090 1
< 0.1%
13500000 1
< 0.1%
9000000 1
< 0.1%
6750000 1
< 0.1%

AMT_CREDIT
Real number (ℝ)

Distinct5603
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean599025.9997
Minimum45000
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:08.837801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile135000
Q1270000
median513531
Q3808650
95-th percentile1350000
Maximum4050000
Range4005000
Interquartile range (IQR)538650

Descriptive statistics

Standard deviation402490.75
Coefficient of variation (CV)0.6719086487
Kurtosis1.934041262
Mean599025.9997
Median Absolute Deviation (MAD)251469
Skewness1.234778523
Sum1.842070842 × 1011
Variance1.619988152 × 1011
MonotonicityNot monotonic
2025-03-25T05:06:08.923736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450000 9709
 
3.2%
675000 8877
 
2.9%
225000 8162
 
2.7%
180000 7342
 
2.4%
270000 7241
 
2.4%
900000 6246
 
2.0%
254700 4500
 
1.5%
545040 4437
 
1.4%
808650 4152
 
1.4%
135000 3660
 
1.2%
Other values (5593) 243185
79.1%
ValueCountFrequency (%)
45000 230
0.1%
47970 218
0.1%
48519 1
 
< 0.1%
49455 19
 
< 0.1%
49500 40
 
< 0.1%
ValueCountFrequency (%)
4050000 8
< 0.1%
4031032.5 1
 
< 0.1%
4027680 1
 
< 0.1%
3956274 1
 
< 0.1%
3860019 1
 
< 0.1%

AMT_ANNUITY
Real number (ℝ)

Distinct13672
Distinct (%)4.4%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27108.57391
Minimum1615.5
Maximum258025.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:09.004350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1615.5
5-th percentile9000
Q116524
median24903
Q334596
95-th percentile53325
Maximum258025.5
Range256410
Interquartile range (IQR)18072

Descriptive statistics

Standard deviation14493.7373
Coefficient of variation (CV)0.5346551004
Kurtosis7.70731926
Mean27108.57391
Median Absolute Deviation (MAD)8815.5
Skewness1.579777241
Sum8335859368
Variance210068432
MonotonicityNot monotonic
2025-03-25T05:06:09.083674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9000 6385
 
2.1%
13500 5514
 
1.8%
6750 2279
 
0.7%
10125 2035
 
0.7%
37800 1602
 
0.5%
11250 1459
 
0.5%
26217 1453
 
0.5%
20250 1345
 
0.4%
12375 1339
 
0.4%
31653 1269
 
0.4%
Other values (13662) 282819
92.0%
ValueCountFrequency (%)
1615.5 1
< 0.1%
1980 2
< 0.1%
1993.5 1
< 0.1%
2052 1
< 0.1%
2164.5 2
< 0.1%
ValueCountFrequency (%)
258025.5 1
 
< 0.1%
230161.5 1
 
< 0.1%
225000 23
< 0.1%
220297.5 1
 
< 0.1%
216589.5 1
 
< 0.1%

AMT_GOODS_PRICE
Real number (ℝ)

Distinct1002
Distinct (%)0.3%
Missing278
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean538396.2074
Minimum40500
Maximum4050000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:09.161558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum40500
5-th percentile135000
Q1238500
median450000
Q3679500
95-th percentile1305000
Maximum4050000
Range4009500
Interquartile range (IQR)441000

Descriptive statistics

Standard deviation369446.4688
Coefficient of variation (CV)0.6861981263
Kurtosis2.431916237
Mean538396.2074
Median Absolute Deviation (MAD)225000
Skewness1.349000454
Sum1.65413082 × 1011
Variance1.364906885 × 1011
MonotonicityNot monotonic
2025-03-25T05:06:09.242733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450000 26022
 
8.5%
225000 25282
 
8.2%
675000 24962
 
8.1%
900000 15416
 
5.0%
270000 11428
 
3.7%
180000 10123
 
3.3%
454500 9157
 
3.0%
1125000 9050
 
2.9%
135000 8206
 
2.7%
315000 5225
 
1.7%
Other values (992) 162362
52.8%
ValueCountFrequency (%)
40500 1
 
< 0.1%
45000 1169
0.4%
49500 157
 
0.1%
50751 1
 
< 0.1%
54000 290
 
0.1%
ValueCountFrequency (%)
4050000 8
< 0.1%
3825000 1
 
< 0.1%
3712500 1
 
< 0.1%
3600000 3
 
< 0.1%
3555000 1
 
< 0.1%

NAME_TYPE_SUITE
Categorical

Imbalance 

Distinct7
Distinct (%)< 0.1%
Missing1292
Missing (%)0.4%
Memory size300.8 KiB
Unaccompanied
248526 
Family
40149 
Spouse, partner
 
11370
Children
 
3267
Other_B
 
1770
Other values (2)
 
1137

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnaccompanied
2nd rowFamily
3rd rowUnaccompanied
4th rowUnaccompanied
5th rowUnaccompanied

Common Values

ValueCountFrequency (%)
Unaccompanied 248526
80.8%
Family 40149
 
13.1%
Spouse, partner 11370
 
3.7%
Children 3267
 
1.1%
Other_B 1770
 
0.6%
Other_A 866
 
0.3%
Group of people 271
 
0.1%
(Missing) 1292
 
0.4%

Common Values (Plot)

2025-03-25T05:06:09.314831image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

NAME_INCOME_TYPE
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.8 KiB
Working
158774 
Commercial associate
71617 
Pensioner
55362 
State servant
21703 
Unemployed
 
22
Other values (3)
 
33

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWorking
2nd rowState servant
3rd rowWorking
4th rowWorking
5th rowWorking

Common Values

ValueCountFrequency (%)
Working 158774
51.6%
Commercial associate 71617
23.3%
Pensioner 55362
 
18.0%
State servant 21703
 
7.1%
Unemployed 22
 
< 0.1%
Student 18
 
< 0.1%
Businessman 10
 
< 0.1%
Maternity leave 5
 
< 0.1%

Common Values (Plot)

2025-03-25T05:06:09.377631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

NAME_EDUCATION_TYPE
Categorical

Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
Secondary / secondary special
218391 
Higher education
74863 
Incomplete higher
 
10277
Lower secondary
 
3816
Academic degree
 
164

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSecondary / secondary special
2nd rowHigher education
3rd rowSecondary / secondary special
4th rowSecondary / secondary special
5th rowSecondary / secondary special

Common Values

ValueCountFrequency (%)
Secondary / secondary special 218391
71.0%
Higher education 74863
 
24.3%
Incomplete higher 10277
 
3.3%
Lower secondary 3816
 
1.2%
Academic degree 164
 
0.1%

Common Values (Plot)

2025-03-25T05:06:09.445150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
Married
196432 
Single / not married
45444 
Civil marriage
29775 
Separated
19770 
Widow
 
16088

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSingle / not married
2nd rowMarried
3rd rowSingle / not married
4th rowCivil marriage
5th rowSingle / not married

Common Values

ValueCountFrequency (%)
Married 196432
63.9%
Single / not married 45444
 
14.8%
Civil marriage 29775
 
9.7%
Separated 19770
 
6.4%
Widow 16088
 
5.2%
Unknown 2
 
< 0.1%

Common Values (Plot)

2025-03-25T05:06:09.498717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

NAME_HOUSING_TYPE
Categorical

Imbalance 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.6 KiB
House / apartment
272868 
With parents
 
14840
Municipal apartment
 
11183
Rented apartment
 
4881
Office apartment
 
2617

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHouse / apartment
2nd rowHouse / apartment
3rd rowHouse / apartment
4th rowHouse / apartment
5th rowHouse / apartment

Common Values

ValueCountFrequency (%)
House / apartment 272868
88.7%
With parents 14840
 
4.8%
Municipal apartment 11183
 
3.6%
Rented apartment 4881
 
1.6%
Office apartment 2617
 
0.9%
Co-op apartment 1122
 
0.4%

Common Values (Plot)

2025-03-25T05:06:09.558887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02086811206
Minimum0.0002899999963
Maximum0.07250799984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:09.631905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0002899999963
5-th percentile0.004960000049
Q10.01000600029
median0.01885000058
Q30.02866300009
95-th percentile0.04622000083
Maximum0.07250799984
Range0.07221800089
Interquartile range (IQR)0.0186569998

Descriptive statistics

Standard deviation0.01383127924
Coefficient of variation (CV)0.6627949477
Kurtosis3.260065317
Mean0.02086811206
Median Absolute Deviation (MAD)0.009193000384
Skewness1.488008618
Sum6417.174007
Variance0.0001913042943
MonotonicityNot monotonic
2025-03-25T05:06:09.714070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03579200059 16408
 
5.3%
0.04622000083 13442
 
4.4%
0.03075500019 12163
 
4.0%
0.02516400069 11950
 
3.9%
0.0263919998 11601
 
3.8%
0.03132899851 11321
 
3.7%
0.02866300009 11157
 
3.6%
0.01910099946 8694
 
2.8%
0.07250799984 8412
 
2.7%
0.02071299963 8066
 
2.6%
Other values (71) 194297
63.2%
ValueCountFrequency (%)
0.0002899999963 2
 
< 0.1%
0.000532999984 39
 
< 0.1%
0.0009379999829 28
 
< 0.1%
0.001276000054 558
0.2%
0.001333000022 235
0.1%
ValueCountFrequency (%)
0.07250799984 8412
2.7%
0.04622000083 13442
4.4%
0.03579200059 16408
5.3%
0.03256100044 6636
2.2%
0.03132899851 11321
3.7%

DAYS_BIRTH
Real number (ℝ)

Distinct17460
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16036.99507
Minimum-25229
Maximum-7489
Zeros0
Zeros (%)0.0%
Negative307511
Negative (%)100.0%
Memory size600.7 KiB
2025-03-25T05:06:09.793749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-25229
5-th percentile-23204
Q1-19682
median-15750
Q3-12413
95-th percentile-9407
Maximum-7489
Range17740
Interquartile range (IQR)7269

Descriptive statistics

Standard deviation4363.988632
Coefficient of variation (CV)-0.2721200957
Kurtosis-1.04912577
Mean-16036.99507
Median Absolute Deviation (MAD)3630
Skewness-0.1156733117
Sum-4931552390
Variance19044396.78
MonotonicityNot monotonic
2025-03-25T05:06:09.872822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13749 43
 
< 0.1%
-13481 42
 
< 0.1%
-18248 41
 
< 0.1%
-10020 41
 
< 0.1%
-15771 40
 
< 0.1%
-10292 40
 
< 0.1%
-14267 39
 
< 0.1%
-13263 39
 
< 0.1%
-11664 39
 
< 0.1%
-14395 39
 
< 0.1%
Other values (17450) 307108
99.9%
ValueCountFrequency (%)
-25229 1
 
< 0.1%
-25201 2
< 0.1%
-25200 1
 
< 0.1%
-25197 2
< 0.1%
-25196 4
< 0.1%
ValueCountFrequency (%)
-7489 1
 
< 0.1%
-7673 1
 
< 0.1%
-7676 2
< 0.1%
-7678 3
< 0.1%
-7679 1
 
< 0.1%

DAYS_EMPLOYED
Real number (ℝ)

Distinct12574
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63815.0459
Minimum-17912
Maximum365243
Zeros2
Zeros (%)< 0.1%
Negative252135
Negative (%)82.0%
Memory size1.2 MiB
2025-03-25T05:06:09.952868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-17912
5-th percentile-6742.5
Q1-2760
median-1213
Q3-289
95-th percentile365243
Maximum365243
Range383155
Interquartile range (IQR)2471

Descriptive statistics

Standard deviation141275.7665
Coefficient of variation (CV)2.213831621
Kurtosis0.7716123807
Mean63815.0459
Median Absolute Deviation (MAD)1091
Skewness1.664346198
Sum1.962382858 × 1010
Variance1.995884221 × 1010
MonotonicityNot monotonic
2025-03-25T05:06:10.030949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365243 55374
 
18.0%
-200 156
 
0.1%
-224 152
 
< 0.1%
-230 151
 
< 0.1%
-199 151
 
< 0.1%
-212 150
 
< 0.1%
-384 143
 
< 0.1%
-229 143
 
< 0.1%
-231 140
 
< 0.1%
-215 138
 
< 0.1%
Other values (12564) 250813
81.6%
ValueCountFrequency (%)
-17912 1
< 0.1%
-17583 1
< 0.1%
-17546 1
< 0.1%
-17531 1
< 0.1%
-17522 1
< 0.1%
ValueCountFrequency (%)
365243 55374
18.0%
0 2
 
< 0.1%
-1 1
 
< 0.1%
-2 2
 
< 0.1%
-3 3
 
< 0.1%

DAYS_REGISTRATION
Real number (ℝ)

Distinct15688
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4986.120328
Minimum-24672
Maximum0
Zeros80
Zeros (%)< 0.1%
Negative307431
Negative (%)> 99.9%
Memory size1.2 MiB
2025-03-25T05:06:10.109681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-24672
5-th percentile-11416
Q1-7479.5
median-4504
Q3-2010
95-th percentile-330
Maximum0
Range24672
Interquartile range (IQR)5469.5

Descriptive statistics

Standard deviation3522.88623
Coefficient of variation (CV)-0.7065385508
Kurtosis-0.3213464618
Mean-4986.120328
Median Absolute Deviation (MAD)2699
Skewness-0.5908718109
Sum-1533286848
Variance12410728
MonotonicityNot monotonic
2025-03-25T05:06:10.186760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 113
 
< 0.1%
-7 98
 
< 0.1%
-6 96
 
< 0.1%
-4 92
 
< 0.1%
-2 92
 
< 0.1%
-5 86
 
< 0.1%
-3 84
 
< 0.1%
-9 84
 
< 0.1%
-14 80
 
< 0.1%
-21 80
 
< 0.1%
Other values (15678) 306606
99.7%
ValueCountFrequency (%)
-24672 1
< 0.1%
-23738 1
< 0.1%
-23416 1
< 0.1%
-22928 1
< 0.1%
-22858 1
< 0.1%
ValueCountFrequency (%)
0 80
< 0.1%
-1 113
< 0.1%
-2 92
< 0.1%
-3 84
< 0.1%
-4 92
< 0.1%

DAYS_ID_PUBLISH
Real number (ℝ)

Distinct6168
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2994.202373
Minimum-7197
Maximum0
Zeros16
Zeros (%)< 0.1%
Negative307495
Negative (%)> 99.9%
Memory size600.7 KiB
2025-03-25T05:06:10.261336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-7197
5-th percentile-4944
Q1-4299
median-3254
Q3-1720
95-th percentile-375
Maximum0
Range7197
Interquartile range (IQR)2579

Descriptive statistics

Standard deviation1509.450419
Coefficient of variation (CV)-0.5041243813
Kurtosis-1.106807894
Mean-2994.202373
Median Absolute Deviation (MAD)1186
Skewness0.3493274932
Sum-920750166
Variance2278440.567
MonotonicityNot monotonic
2025-03-25T05:06:10.581175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4053 169
 
0.1%
-4095 162
 
0.1%
-4046 161
 
0.1%
-4417 159
 
0.1%
-4256 158
 
0.1%
-4032 157
 
0.1%
-4151 157
 
0.1%
-4200 156
 
0.1%
-4171 155
 
0.1%
-4214 155
 
0.1%
Other values (6158) 305922
99.5%
ValueCountFrequency (%)
-7197 1
< 0.1%
-6551 1
< 0.1%
-6383 1
< 0.1%
-6337 1
< 0.1%
-6274 1
< 0.1%
ValueCountFrequency (%)
0 16
 
< 0.1%
-1 64
< 0.1%
-2 50
< 0.1%
-3 51
< 0.1%
-4 57
< 0.1%

OWN_CAR_AGE
Real number (ℝ)

Missing 

Distinct62
Distinct (%)0.1%
Missing202929
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean12.06109082
Minimum0
Maximum91
Zeros2134
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:10.663908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile30
Maximum91
Range91
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.94481277
Coefficient of variation (CV)0.9903592431
Kurtosis9.214946747
Mean12.06109082
Median Absolute Deviation (MAD)5
Skewness2.745422125
Sum1261373
Variance142.6785431
MonotonicityNot monotonic
2025-03-25T05:06:10.744739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 7424
 
2.4%
6 6382
 
2.1%
3 6370
 
2.1%
8 5887
 
1.9%
2 5852
 
1.9%
4 5557
 
1.8%
1 5280
 
1.7%
9 5020
 
1.6%
10 4806
 
1.6%
14 4594
 
1.5%
Other values (52) 47410
 
15.4%
(Missing) 202929
66.0%
ValueCountFrequency (%)
0 2134
 
0.7%
1 5280
1.7%
2 5852
1.9%
3 6370
2.1%
4 5557
1.8%
ValueCountFrequency (%)
91 2
 
< 0.1%
69 1
 
< 0.1%
65 891
 
0.3%
64 2443
0.8%
63 2
 
< 0.1%

FLAG_MOBIL
Real number (ℝ)

Skewed 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9999967481
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:10.800798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.001803307015
Coefficient of variation (CV)0.00180331288
Kurtosis307511
Mean0.9999967481
Median Absolute Deviation (MAD)0
Skewness-554.5367436
Sum307510
Variance3.251916192 × 10-6
MonotonicityNot monotonic
2025-03-25T05:06:10.849862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 307510
> 99.9%
0 1
 
< 0.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 307510
> 99.9%
ValueCountFrequency (%)
1 307510
> 99.9%
0 1
 
< 0.1%

FLAG_EMP_PHONE
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8198893698
Minimum0
Maximum1
Zeros55386
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:10.895422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3842801989
Coefficient of variation (CV)0.4686976232
Kurtosis0.7718519499
Mean0.8198893698
Median Absolute Deviation (MAD)0
Skewness-1.664886462
Sum252125
Variance0.1476712713
MonotonicityNot monotonic
2025-03-25T05:06:10.939496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 252125
82.0%
0 55386
 
18.0%
ValueCountFrequency (%)
0 55386
 
18.0%
1 252125
82.0%
ValueCountFrequency (%)
1 252125
82.0%
0 55386
 
18.0%

FLAG_WORK_PHONE
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1993684779
Minimum0
Maximum1
Zeros246203
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:10.987767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3995262282
Coefficient of variation (CV)2.003958863
Kurtosis0.2648759067
Mean0.1993684779
Median Absolute Deviation (MAD)0
Skewness1.504949894
Sum61308
Variance0.159621207
MonotonicityNot monotonic
2025-03-25T05:06:11.032811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 246203
80.1%
1 61308
 
19.9%
ValueCountFrequency (%)
0 246203
80.1%
1 61308
 
19.9%
ValueCountFrequency (%)
1 61308
 
19.9%
0 246203
80.1%

FLAG_CONT_MOBILE
Real number (ℝ)

Skewed 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9981334001
Minimum0
Maximum1
Zeros574
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.078873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04316389414
Coefficient of variation (CV)0.04324461454
Kurtosis530.7439687
Mean0.9981334001
Median Absolute Deviation (MAD)0
Skewness-23.08117235
Sum306937
Variance0.001863121758
MonotonicityNot monotonic
2025-03-25T05:06:11.125586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 306937
99.8%
0 574
 
0.2%
ValueCountFrequency (%)
0 574
 
0.2%
1 306937
99.8%
ValueCountFrequency (%)
1 306937
99.8%
0 574
 
0.2%

FLAG_PHONE
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2810663684
Minimum0
Maximum1
Zeros221080
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.173188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4495205469
Coefficient of variation (CV)1.599339506
Kurtosis-1.051170063
Mean0.2810663684
Median Absolute Deviation (MAD)0
Skewness0.974082529
Sum86431
Variance0.202068722
MonotonicityNot monotonic
2025-03-25T05:06:11.217275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 221080
71.9%
1 86431
 
28.1%
ValueCountFrequency (%)
0 221080
71.9%
1 86431
 
28.1%
ValueCountFrequency (%)
1 86431
 
28.1%
0 221080
71.9%

FLAG_EMAIL
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05671992221
Minimum0
Maximum1
Zeros290069
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.261900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2313070397
Coefficient of variation (CV)4.078056364
Kurtosis12.690846
Mean0.05671992221
Median Absolute Deviation (MAD)0
Skewness3.832853175
Sum17442
Variance0.05350294663
MonotonicityNot monotonic
2025-03-25T05:06:11.308447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 290069
94.3%
1 17442
 
5.7%
ValueCountFrequency (%)
0 290069
94.3%
1 17442
 
5.7%
ValueCountFrequency (%)
1 17442
 
5.7%
0 290069
94.3%

OCCUPATION_TYPE
Categorical

Missing 

Distinct18
Distinct (%)< 0.1%
Missing96391
Missing (%)31.3%
Memory size301.1 KiB
Laborers
55186 
Sales staff
32102 
Core staff
27570 
Managers
21371 
Drivers
18603 
Other values (13)
56288 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLaborers
2nd rowCore staff
3rd rowLaborers
4th rowLaborers
5th rowCore staff

Common Values

ValueCountFrequency (%)
Laborers 55186
17.9%
Sales staff 32102
 
10.4%
Core staff 27570
 
9.0%
Managers 21371
 
6.9%
Drivers 18603
 
6.0%
High skill tech staff 11380
 
3.7%
Accountants 9813
 
3.2%
Medicine staff 8537
 
2.8%
Security staff 6721
 
2.2%
Cooking staff 5946
 
1.9%
Other values (8) 13891
 
4.5%
(Missing) 96391
31.3%

CNT_FAM_MEMBERS
Real number (ℝ)

Distinct17
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.15266545
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:11.358109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9106816053
Coefficient of variation (CV)0.4230483679
Kurtosis2.801977158
Mean2.15266545
Median Absolute Deviation (MAD)0
Skewness0.9875430465
Sum661964
Variance0.8293409348
MonotonicityNot monotonic
2025-03-25T05:06:11.416171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 158357
51.5%
1 67847
22.1%
3 52601
 
17.1%
4 24697
 
8.0%
5 3478
 
1.1%
6 408
 
0.1%
7 81
 
< 0.1%
8 20
 
< 0.1%
9 6
 
< 0.1%
10 3
 
< 0.1%
Other values (7) 11
 
< 0.1%
ValueCountFrequency (%)
1 67847
22.1%
2 158357
51.5%
3 52601
 
17.1%
4 24697
 
8.0%
5 3478
 
1.1%
ValueCountFrequency (%)
20 2
< 0.1%
16 2
< 0.1%
15 1
< 0.1%
14 2
< 0.1%
13 1
< 0.1%

REGION_RATING_CLIENT
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.052463164
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.462722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5090339028
Coefficient of variation (CV)0.2480112246
Kurtosis0.8004164375
Mean2.052463164
Median Absolute Deviation (MAD)0
Skewness0.08746834971
Sum631155
Variance0.2591155142
MonotonicityNot monotonic
2025-03-25T05:06:11.510276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 226984
73.8%
3 48330
 
15.7%
1 32197
 
10.5%
ValueCountFrequency (%)
1 32197
 
10.5%
2 226984
73.8%
3 48330
 
15.7%
ValueCountFrequency (%)
3 48330
 
15.7%
2 226984
73.8%
1 32197
 
10.5%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.031520824
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.556819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5027370329
Coefficient of variation (CV)0.2474683139
Kurtosis0.9335838303
Mean2.031520824
Median Absolute Deviation (MAD)0
Skewness0.05972981215
Sum624715
Variance0.2527445243
MonotonicityNot monotonic
2025-03-25T05:06:11.602936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 229484
74.6%
3 43860
 
14.3%
1 34167
 
11.1%
ValueCountFrequency (%)
1 34167
 
11.1%
2 229484
74.6%
3 43860
 
14.3%
ValueCountFrequency (%)
3 43860
 
14.3%
2 229484
74.6%
1 34167
 
11.1%
Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.8 KiB
TUESDAY
53901 
WEDNESDAY
51934 
MONDAY
50714 
THURSDAY
50591 
FRIDAY
50338 
Other values (2)
50033 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWEDNESDAY
2nd rowMONDAY
3rd rowMONDAY
4th rowWEDNESDAY
5th rowTHURSDAY

Common Values

ValueCountFrequency (%)
TUESDAY 53901
17.5%
WEDNESDAY 51934
16.9%
MONDAY 50714
16.5%
THURSDAY 50591
16.5%
FRIDAY 50338
16.4%
SATURDAY 33852
11.0%
SUNDAY 16181
 
5.3%

Common Values (Plot)

2025-03-25T05:06:11.658234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

HOUR_APPR_PROCESS_START
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06341887
Minimum0
Maximum23
Zeros40
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.730037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.265832255
Coefficient of variation (CV)0.270721948
Kurtosis-0.1941728655
Mean12.06341887
Median Absolute Deviation (MAD)2
Skewness-0.02802445946
Sum3709634
Variance10.66566032
MonotonicityNot monotonic
2025-03-25T05:06:11.789113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 37722
12.3%
11 37229
12.1%
12 34233
11.1%
13 30959
10.1%
14 27682
9.0%
9 27384
8.9%
15 24839
8.1%
16 20385
6.6%
8 15127
4.9%
17 14900
 
4.8%
Other values (14) 37051
12.0%
ValueCountFrequency (%)
0 40
 
< 0.1%
1 86
 
< 0.1%
2 305
 
0.1%
3 1230
0.4%
4 2090
0.7%
ValueCountFrequency (%)
23 41
 
< 0.1%
22 150
 
< 0.1%
21 405
 
0.1%
20 1196
 
0.4%
19 3848
1.3%

REG_REGION_NOT_LIVE_REGION
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0151441737
Minimum0
Maximum1
Zeros302854
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.838661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1221264763
Coefficient of variation (CV)8.064254852
Kurtosis61.04838402
Mean0.0151441737
Median Absolute Deviation (MAD)0
Skewness7.940276253
Sum4657
Variance0.01491487621
MonotonicityNot monotonic
2025-03-25T05:06:11.884218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 302854
98.5%
1 4657
 
1.5%
ValueCountFrequency (%)
0 302854
98.5%
1 4657
 
1.5%
ValueCountFrequency (%)
1 4657
 
1.5%
0 302854
98.5%

REG_REGION_NOT_WORK_REGION
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05076891558
Minimum0
Maximum1
Zeros291899
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:11.931763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2195258288
Coefficient of variation (CV)4.324020442
Kurtosis14.75083559
Mean0.05076891558
Median Absolute Deviation (MAD)0
Skewness4.092766748
Sum15612
Variance0.04819158951
MonotonicityNot monotonic
2025-03-25T05:06:11.977420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 291899
94.9%
1 15612
 
5.1%
ValueCountFrequency (%)
0 291899
94.9%
1 15612
 
5.1%
ValueCountFrequency (%)
1 15612
 
5.1%
0 291899
94.9%

LIVE_REGION_NOT_WORK_REGION
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04065870814
Minimum0
Maximum1
Zeros295008
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:12.021453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1974986188
Coefficient of variation (CV)4.857474028
Kurtosis19.63769792
Mean0.04065870814
Median Absolute Deviation (MAD)0
Skewness4.651620169
Sum12503
Variance0.03900570444
MonotonicityNot monotonic
2025-03-25T05:06:12.067511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 295008
95.9%
1 12503
 
4.1%
ValueCountFrequency (%)
0 295008
95.9%
1 12503
 
4.1%
ValueCountFrequency (%)
1 12503
 
4.1%
0 295008
95.9%

REG_CITY_NOT_LIVE_CITY
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07817281333
Minimum0
Maximum1
Zeros283472
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:12.112810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2684437724
Coefficient of variation (CV)3.433978655
Kurtosis7.877120671
Mean0.07817281333
Median Absolute Deviation (MAD)0
Skewness3.142780527
Sum24039
Variance0.07206205893
MonotonicityNot monotonic
2025-03-25T05:06:12.156381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 283472
92.2%
1 24039
 
7.8%
ValueCountFrequency (%)
0 283472
92.2%
1 24039
 
7.8%
ValueCountFrequency (%)
1 24039
 
7.8%
0 283472
92.2%

REG_CITY_NOT_WORK_CITY
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2304535448
Minimum0
Maximum1
Zeros236644
Zeros (%)77.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:12.201632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4211238359
Coefficient of variation (CV)1.827369748
Kurtosis-0.3612503173
Mean0.2304535448
Median Absolute Deviation (MAD)0
Skewness1.280137505
Sum70867
Variance0.1773452852
MonotonicityNot monotonic
2025-03-25T05:06:12.244667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 236644
77.0%
1 70867
 
23.0%
ValueCountFrequency (%)
0 236644
77.0%
1 70867
 
23.0%
ValueCountFrequency (%)
1 70867
 
23.0%
0 236644
77.0%

LIVE_CITY_NOT_WORK_CITY
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1795545525
Minimum0
Maximum1
Zeros252296
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:12.287721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3838166154
Coefficient of variation (CV)2.137604477
Kurtosis0.7882204506
Mean0.1795545525
Median Absolute Deviation (MAD)0
Skewness1.669794995
Sum55215
Variance0.1473151942
MonotonicityNot monotonic
2025-03-25T05:06:12.332758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 252296
82.0%
1 55215
 
18.0%
ValueCountFrequency (%)
0 252296
82.0%
1 55215
 
18.0%
ValueCountFrequency (%)
1 55215
 
18.0%
0 252296
82.0%

ORGANIZATION_TYPE
Categorical

High cardinality 

Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size302.9 KiB
Business Entity Type 3
67992 
XNA
55374 
Self-employed
38412 
Other
16683 
Medicine
 
11193
Other values (53)
117857 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBusiness Entity Type 3
2nd rowSchool
3rd rowGovernment
4th rowBusiness Entity Type 3
5th rowReligion

Common Values

ValueCountFrequency (%)
Business Entity Type 3 67992
22.1%
XNA 55374
18.0%
Self-employed 38412
12.5%
Other 16683
 
5.4%
Medicine 11193
 
3.6%
Business Entity Type 2 10553
 
3.4%
Government 10404
 
3.4%
School 8893
 
2.9%
Trade: type 7 7831
 
2.5%
Kindergarten 6880
 
2.2%
Other values (48) 73296
23.8%

EXT_SOURCE_1
Real number (ℝ)

Missing 

Distinct114584
Distinct (%)85.4%
Missing173378
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean0.5021298057
Minimum0.01456813235
Maximum0.9626927972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:12.397528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01456813235
5-th percentile0.1580212265
Q10.334007293
median0.5059979558
Q30.6750525832
95-th percentile0.8322601318
Maximum0.9626927972
Range0.9481246471
Interquartile range (IQR)0.3410452902

Descriptive statistics

Standard deviation0.2110622376
Coefficient of variation (CV)0.4203340157
Kurtosis-0.9651553035
Mean0.5021298057
Median Absolute Deviation (MAD)0.1705071926
Skewness-0.06875488162
Sum67352.17722
Variance0.04454727098
MonotonicityNot monotonic
2025-03-25T05:06:12.474601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.581014812 5
 
< 0.1%
0.5464264154 5
 
< 0.1%
0.4439821243 5
 
< 0.1%
0.7657237053 5
 
< 0.1%
0.5281974077 5
 
< 0.1%
0.4990017414 5
 
< 0.1%
0.6227066517 5
 
< 0.1%
0.6677395701 5
 
< 0.1%
0.6051516533 5
 
< 0.1%
0.5984687209 5
 
< 0.1%
Other values (114574) 134083
43.6%
(Missing) 173378
56.4%
ValueCountFrequency (%)
0.01456813235 1
< 0.1%
0.0146914823 1
< 0.1%
0.01505292114 1
< 0.1%
0.0156000806 1
< 0.1%
0.01709465869 1
< 0.1%
ValueCountFrequency (%)
0.9626927972 1
< 0.1%
0.9516239762 1
< 0.1%
0.9476493597 1
< 0.1%
0.9460976124 1
< 0.1%
0.9460754991 1
< 0.1%

EXT_SOURCE_2
Real number (ℝ)

Distinct119831
Distinct (%)39.1%
Missing660
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.5143926742
Minimum8.173616806 × 10-8
Maximum0.8549996614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:12.545161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8.173616806 × 10-8
5-th percentile0.1332991421
Q10.3924574256
median0.5659614205
Q30.6636170745
95-th percentile0.7477341294
Maximum0.8549996614
Range0.8549996018
Interquartile range (IQR)0.2711596489

Descriptive statistics

Standard deviation0.1910601556
Coefficient of variation (CV)0.3714286093
Kurtosis-0.269130826
Mean0.5143926742
Median Absolute Deviation (MAD)0.1190824211
Skewness-0.7935760617
Sum157841.9065
Variance0.0365039818
MonotonicityNot monotonic
2025-03-25T05:06:12.624325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2858978808 721
 
0.2%
0.2622583807 417
 
0.1%
0.2652563453 343
 
0.1%
0.159679234 322
 
0.1%
0.2653117478 306
 
0.1%
0.2665197849 244
 
0.1%
0.263143599 243
 
0.1%
0.1621445715 238
 
0.1%
0.1621921062 234
 
0.1%
0.1631870419 184
 
0.1%
Other values (119821) 303599
98.7%
(Missing) 660
 
0.2%
ValueCountFrequency (%)
8.173616806 × 10-81
< 0.1%
1.315955615 × 10-61
< 0.1%
5.002108537 × 10-61
< 0.1%
5.600337772 × 10-61
< 0.1%
5.939651146 × 10-61
< 0.1%
ValueCountFrequency (%)
0.8549996614 26
< 0.1%
0.8217142224 1
 
< 0.1%
0.821393609 1
 
< 0.1%
0.8206159472 1
 
< 0.1%
0.8206095099 1
 
< 0.1%

EXT_SOURCE_3
Real number (ℝ)

Missing 

Distinct814
Distinct (%)0.3%
Missing60965
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.510852906
Minimum0.0005272652488
Maximum0.8960095644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:12.702915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0005272652488
5-th percentile0.1547436267
Q10.3706496358
median0.5352762341
Q30.6690567136
95-th percentile0.7862666249
Maximum0.8960095644
Range0.8954823017
Interquartile range (IQR)0.2984070778

Descriptive statistics

Standard deviation0.1948443651
Coefficient of variation (CV)0.3814099183
Kurtosis-0.6634628177
Mean0.510852906
Median Absolute Deviation (MAD)0.1459374428
Skewness-0.4093908668
Sum125948.7406
Variance0.0379643254
MonotonicityNot monotonic
2025-03-25T05:06:12.779588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7463002205 1460
 
0.5%
0.7136313915 1315
 
0.4%
0.6940926313 1276
 
0.4%
0.6706517339 1191
 
0.4%
0.6528965235 1154
 
0.4%
0.5814837217 1141
 
0.4%
0.6894791722 1138
 
0.4%
0.595456183 1136
 
0.4%
0.5549467802 1132
 
0.4%
0.6212263107 1109
 
0.4%
Other values (804) 234494
76.3%
(Missing) 60965
 
19.8%
ValueCountFrequency (%)
0.0005272652488 886
0.3%
0.01134571899 1
 
< 0.1%
0.0127159236 1
 
< 0.1%
0.0139484657 1
 
< 0.1%
0.01414826512 1
 
< 0.1%
ValueCountFrequency (%)
0.8960095644 1
 
< 0.1%
0.8939760923 2
 
< 0.1%
0.8876641989 1
 
< 0.1%
0.8854883909 3
 
< 0.1%
0.8825303316 26
< 0.1%

APARTMENTS_AVG
Real number (ℝ)

Missing 

Distinct2339
Distinct (%)1.5%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1174404993
Minimum0
Maximum1
Zeros751
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:12.856799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00820000004
Q10.0577000007
median0.0876000002
Q30.1484999955
95-th percentile0.3267999887
Maximum1
Range1
Interquartile range (IQR)0.09079999477

Descriptive statistics

Standard deviation0.1082402989
Coefficient of variation (CV)0.9216607526
Kurtosis11.39376545
Mean0.1174404993
Median Absolute Deviation (MAD)0.04329999536
Skewness2.64183569
Sum17786.36361
Variance0.01171596162
MonotonicityNot monotonic
2025-03-25T05:06:12.932381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08250000328 6663
 
2.2%
0.06190000102 6332
 
2.1%
0.09279999882 4404
 
1.4%
0.07220000029 3986
 
1.3%
0.00820000004 3507
 
1.1%
0.01649999991 3027
 
1.0%
0.1031000018 2892
 
0.9%
0.1484999955 2769
 
0.9%
0.01240000036 2721
 
0.9%
0.07419999689 2231
 
0.7%
Other values (2329) 112918
36.7%
(Missing) 156061
50.7%
ValueCountFrequency (%)
0 751
0.2%
0.001000000047 197
 
0.1%
0.00139999995 1
 
< 0.1%
0.001500000013 6
 
< 0.1%
0.001700000023 1
 
< 0.1%
ValueCountFrequency (%)
1 147
< 0.1%
0.9907000065 2
 
< 0.1%
0.9897000194 1
 
< 0.1%
0.9876000285 7
 
< 0.1%
0.981400013 9
 
< 0.1%

BASEMENTAREA_AVG
Real number (ℝ)

Missing  Zeros 

Distinct3780
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08844221906
Minimum0
Maximum1
Zeros14745
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:13.009903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04419999942
median0.07630000263
Q30.1121999994
95-th percentile0.2237000018
Maximum1
Range1
Interquartile range (IQR)0.06799999997

Descriptive statistics

Standard deviation0.08243816346
Coefficient of variation (CV)0.9321132411
Kurtosis25.93012238
Mean0.08844221906
Median Absolute Deviation (MAD)0.0339999944
Skewness3.566306114
Sum11282.397
Variance0.006796050817
MonotonicityNot monotonic
2025-03-25T05:06:13.180303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14745
 
4.8%
0.08179999888 251
 
0.1%
0.05449999869 251
 
0.1%
0.0727000013 248
 
0.1%
0.1090999991 246
 
0.1%
0.07959999889 245
 
0.1%
0.07999999821 239
 
0.1%
0.08049999923 230
 
0.1%
0.07639999688 220
 
0.1%
0.07930000126 211
 
0.1%
Other values (3770) 110682
36.0%
(Missing) 179943
58.5%
ValueCountFrequency (%)
0 14745
4.8%
9.999999747 × 10-599
 
< 0.1%
0.0001999999949 38
 
< 0.1%
0.0003000000142 8
 
< 0.1%
0.0003999999899 33
 
< 0.1%
ValueCountFrequency (%)
1 130
< 0.1%
0.9944999814 1
 
< 0.1%
0.9693999887 2
 
< 0.1%
0.9682000279 1
 
< 0.1%
0.9677000046 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_AVG
Real number (ℝ)

Missing 

Distinct285
Distinct (%)0.2%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9777348581
Minimum0
Maximum1
Zeros514
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:13.268651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9686999917
Q10.9767000079
median0.9815999866
Q30.9865999818
95-th percentile0.9959999919
Maximum1
Range1
Interquartile range (IQR)0.009899973869

Descriptive statistics

Standard deviation0.05922331661
Coefficient of variation (CV)0.06057195989
Kurtosis248.1763458
Mean0.9777348581
Median Absolute Deviation (MAD)0.004999995232
Skewness-15.51526451
Sum153997.1511
Variance0.003507401096
MonotonicityNot monotonic
2025-03-25T05:06:13.357979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9871000051 4311
 
1.4%
0.9855999947 4189
 
1.4%
0.986100018 4171
 
1.4%
0.9800999761 4123
 
1.3%
0.9865999818 4114
 
1.3%
0.9805999994 4096
 
1.3%
0.9850999713 4096
 
1.3%
0.9811000228 3986
 
1.3%
0.9815999866 3982
 
1.3%
0.983099997 3970
 
1.3%
Other values (275) 116466
37.9%
(Missing) 150007
48.8%
ValueCountFrequency (%)
0 514
0.2%
0.0178999994 1
 
< 0.1%
0.04470000044 1
 
< 0.1%
0.09690000117 1
 
< 0.1%
0.09740000218 1
 
< 0.1%
ValueCountFrequency (%)
1 186
 
0.1%
0.9994999766 691
0.2%
0.9990000129 906
0.3%
0.9984999895 1062
0.3%
0.9980000257 1096
0.4%

YEARS_BUILD_AVG
Real number (ℝ)

Missing 

Distinct149
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7524714318
Minimum0
Maximum1
Zeros102
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:13.441193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5920000076
Q10.6872000098
median0.7552000284
Q30.8231999874
95-th percentile0.9524000287
Maximum1
Range1
Interquartile range (IQR)0.1359999776

Descriptive statistics

Standard deviation0.1132799312
Coefficient of variation (CV)0.1505438299
Kurtosis4.399757385
Mean0.7524714318
Median Absolute Deviation (MAD)0.06799995899
Skewness-0.9624854922
Sum77521.86432
Variance0.01283234358
MonotonicityNot monotonic
2025-03-25T05:06:13.526571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8231999874 2999
 
1.0%
0.8163999915 2864
 
0.9%
0.8027999997 2848
 
0.9%
0.7279999852 2802
 
0.9%
0.7347999811 2761
 
0.9%
0.8095999956 2755
 
0.9%
0.8299999833 2738
 
0.9%
0.7960000038 2734
 
0.9%
0.7483999729 2731
 
0.9%
0.7688000202 2712
 
0.9%
Other values (139) 75079
 
24.4%
(Missing) 204488
66.5%
ValueCountFrequency (%)
0 102
< 0.1%
0.0003999999899 2
 
< 0.1%
0.007199999876 4
 
< 0.1%
0.01400000043 3
 
< 0.1%
0.02080000006 1
 
< 0.1%
ValueCountFrequency (%)
1 173
 
0.1%
0.9932000041 478
0.2%
0.9864000082 661
0.2%
0.9796000123 786
0.3%
0.9728000164 813
0.3%

COMMONAREA_AVG
Real number (ℝ)

Missing  Zeros 

Distinct3181
Distinct (%)3.4%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04462071548
Minimum0
Maximum1
Zeros8442
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:13.872864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007799999788
median0.02109999955
Q30.05150000006
95-th percentile0.1600999981
Maximum1
Range1
Interquartile range (IQR)0.04370000027

Descriptive statistics

Standard deviation0.07603573799
Coefficient of variation (CV)1.704045692
Kurtosis45.98802185
Mean0.04462071548
Median Absolute Deviation (MAD)0.01729999855
Skewness5.457305431
Sum4133.930806
Variance0.005781434011
MonotonicityNot monotonic
2025-03-25T05:06:13.949126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8442
 
2.7%
0.007899999619 544
 
0.2%
0.007799999788 475
 
0.2%
0.00800000038 446
 
0.1%
0.007699999958 414
 
0.1%
0.008600000292 365
 
0.1%
0.00139999995 345
 
0.1%
0.007000000216 343
 
0.1%
0.001300000004 317
 
0.1%
0.00689999992 314
 
0.1%
Other values (3171) 80641
 
26.2%
(Missing) 214865
69.9%
ValueCountFrequency (%)
0 8442
2.7%
9.999999747 × 10-545
 
< 0.1%
0.0001999999949 67
 
< 0.1%
0.0003000000142 84
 
< 0.1%
0.0003999999899 62
 
< 0.1%
ValueCountFrequency (%)
1 92
< 0.1%
0.9937000275 2
 
< 0.1%
0.9905999899 2
 
< 0.1%
0.9832999706 1
 
< 0.1%
0.9600999951 1
 
< 0.1%

ELEVATORS_AVG
Real number (ℝ)

Missing  Zeros 

Distinct257
Distinct (%)0.2%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07894151173
Minimum0
Maximum1
Zeros85718
Zeros (%)27.9%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.025741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1199999973
95-th percentile0.3600000143
Maximum1
Range1
Interquartile range (IQR)0.1199999973

Descriptive statistics

Standard deviation0.1345760077
Coefficient of variation (CV)1.704755898
Kurtosis7.869390011
Mean0.07894151173
Median Absolute Deviation (MAD)0
Skewness2.439428568
Sum11337.57991
Variance0.01811069995
MonotonicityNot monotonic
2025-03-25T05:06:14.104393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85718
27.9%
0.07999999821 9886
 
3.2%
0.1599999964 8806
 
2.9%
0.2399999946 6071
 
2.0%
0.1199999973 5593
 
1.8%
0.03999999911 4585
 
1.5%
0.200000003 4072
 
1.3%
0.3199999928 2788
 
0.9%
0.2800000012 2272
 
0.7%
0.400000006 1532
 
0.5%
Other values (247) 12297
 
4.0%
(Missing) 163891
53.3%
ValueCountFrequency (%)
0 85718
27.9%
0.002000000095 1
 
< 0.1%
0.002400000114 1
 
< 0.1%
0.004800000228 3
 
< 0.1%
0.006399999838 5
 
< 0.1%
ValueCountFrequency (%)
1 158
0.1%
0.9599999785 81
< 0.1%
0.9332000017 2
 
< 0.1%
0.9200000167 20
 
< 0.1%
0.8999999762 6
 
< 0.1%

ENTRANCES_AVG
Real number (ℝ)

Missing 

Distinct285
Distinct (%)0.2%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1497246687
Minimum0
Maximum1
Zeros323
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.177997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03449999914
Q10.06899999827
median0.1378999949
Q30.2069000006
95-th percentile0.3102999926
Maximum1
Range1
Interquartile range (IQR)0.1379000023

Descriptive statistics

Standard deviation0.1000491306
Coefficient of variation (CV)0.6682207513
Kurtosis11.59321213
Mean0.1497246687
Median Absolute Deviation (MAD)0.06889999658
Skewness2.399716854
Sum22860.4116
Variance0.01000982802
MonotonicityNot monotonic
2025-03-25T05:06:14.259743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1378999949 34007
 
11.1%
0.06899999827 22956
 
7.5%
0.1033999994 19533
 
6.4%
0.2069000006 19062
 
6.2%
0.03449999914 15380
 
5.0%
0.1723999977 9185
 
3.0%
0.2759000063 7895
 
2.6%
0.2414000034 4165
 
1.4%
0.3447999954 2066
 
0.7%
0.3102999926 2049
 
0.7%
Other values (275) 16385
 
5.3%
(Missing) 154828
50.3%
ValueCountFrequency (%)
0 323
0.1%
0.00549999997 1
 
< 0.1%
0.008600000292 2
 
< 0.1%
0.01140000019 1
 
< 0.1%
0.01720000058 7
 
< 0.1%
ValueCountFrequency (%)
1 153
< 0.1%
0.9654999971 25
 
< 0.1%
0.9309999943 21
 
< 0.1%
0.896600008 52
 
< 0.1%
0.8621000051 14
 
< 0.1%

FLOORSMAX_AVG
Real number (ℝ)

Missing 

Distinct403
Distinct (%)0.3%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2262819083
Minimum0
Maximum1
Zeros2938
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.347616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04170000181
Q10.1667000055
median0.1667000055
Q30.3332999945
95-th percentile0.4792000055
Maximum1
Range1
Interquartile range (IQR)0.1665999889

Descriptive statistics

Standard deviation0.144640699
Coefficient of variation (CV)0.6392057593
Kurtosis2.432545662
Mean0.2262819083
Median Absolute Deviation (MAD)0.08340000361
Skewness1.226453543
Sum34958.5183
Variance0.02092093229
MonotonicityNot monotonic
2025-03-25T05:06:14.429505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1667000055 61875
20.1%
0.3332999945 31909
 
10.4%
0.04170000181 14600
 
4.7%
0.375 7926
 
2.6%
0.125 6974
 
2.3%
0.08330000192 6586
 
2.1%
0 2938
 
1.0%
0.4582999945 2828
 
0.9%
0.625 1915
 
0.6%
0.5417000055 1685
 
0.5%
Other values (393) 15255
 
5.0%
(Missing) 153020
49.8%
ValueCountFrequency (%)
0 2938
1.0%
0.006699999794 1
 
< 0.1%
0.00829999987 3
 
< 0.1%
0.009999999776 4
 
< 0.1%
0.01040000003 5
 
< 0.1%
ValueCountFrequency (%)
1 167
0.1%
0.9792000055 1
 
< 0.1%
0.9582999945 83
< 0.1%
0.9478999972 2
 
< 0.1%
0.9375 4
 
< 0.1%

FLOORSMIN_AVG
Real number (ℝ)

Missing 

Distinct305
Distinct (%)0.3%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2318934995
Minimum0
Maximum1
Zeros2320
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.512394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04170000181
Q10.08330000192
median0.2082999945
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2916999981

Descriptive statistics

Standard deviation0.1613802761
Coefficient of variation (CV)0.6959241051
Kurtosis1.33825624
Mean0.2318934995
Median Absolute Deviation (MAD)0.1528999954
Skewness0.954197526
Sum22927.0784
Variance0.02604359575
MonotonicityNot monotonic
2025-03-25T05:06:14.600905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2082999945 32875
 
10.7%
0.375 17845
 
5.8%
0.04170000181 17776
 
5.8%
0.08330000192 5086
 
1.7%
0.4167000055 3961
 
1.3%
0.1667000055 3537
 
1.2%
0.125 3336
 
1.1%
0 2320
 
0.8%
0.5 1688
 
0.5%
0.6667000055 1194
 
0.4%
Other values (295) 9251
 
3.0%
(Missing) 208642
67.8%
ValueCountFrequency (%)
0 2320
0.8%
0.006699999794 3
 
< 0.1%
0.01040000003 3
 
< 0.1%
0.01379999984 1
 
< 0.1%
0.01579999924 4
 
< 0.1%
ValueCountFrequency (%)
1 141
< 0.1%
0.9792000055 5
 
< 0.1%
0.9582999945 10
 
< 0.1%
0.9408000112 2
 
< 0.1%
0.9304000139 1
 
< 0.1%

LANDAREA_AVG
Real number (ℝ)

Missing  Zeros 

Distinct3527
Distinct (%)2.8%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06633318422
Minimum0
Maximum1
Zeros15600
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.681487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0186999999
median0.04809999838
Q30.0856000036
95-th percentile0.1947000027
Maximum1
Range1
Interquartile range (IQR)0.0669000037

Descriptive statistics

Standard deviation0.0811836347
Coefficient of variation (CV)1.223876641
Kurtosis34.74478912
Mean0.06633318422
Median Absolute Deviation (MAD)0.03219999745
Skewness4.458676815
Sum8286.407706
Variance0.00659078313
MonotonicityNot monotonic
2025-03-25T05:06:14.759782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15600
 
5.1%
0.06310000271 189
 
0.1%
0.03159999847 187
 
0.1%
0.04729999974 186
 
0.1%
0.01740000024 180
 
0.1%
0.02370000072 175
 
0.1%
0.05519999936 173
 
0.1%
0.01579999924 170
 
0.1%
0.03310000151 170
 
0.1%
0.01889999956 165
 
0.1%
Other values (3517) 107726
35.0%
(Missing) 182590
59.4%
ValueCountFrequency (%)
0 15600
5.1%
9.999999747 × 10-513
 
< 0.1%
0.0001999999949 13
 
< 0.1%
0.0003000000142 9
 
< 0.1%
0.0003999999899 11
 
< 0.1%
ValueCountFrequency (%)
1 135
< 0.1%
0.9829000235 10
 
< 0.1%
0.977699995 3
 
< 0.1%
0.9689999819 1
 
< 0.1%
0.9496999979 1
 
< 0.1%

LIVINGAPARTMENTS_AVG
Real number (ℝ)

Missing 

Distinct1868
Distinct (%)1.9%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.100774775
Minimum0
Maximum1
Zeros418
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.838990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01009999961
Q10.05040000007
median0.07559999824
Q30.1209999993
95-th percentile0.272300005
Maximum1
Range1
Interquartile range (IQR)0.07059999928

Descriptive statistics

Standard deviation0.09257613868
Coefficient of variation (CV)0.918643963
Kurtosis16.4906292
Mean0.100774775
Median Absolute Deviation (MAD)0.03280000389
Skewness3.042198181
Sum9806.594905
Variance0.008570341393
MonotonicityNot monotonic
2025-03-25T05:06:14.919577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05040000007 4272
 
1.4%
0.0671999976 4231
 
1.4%
0.07559999824 2778
 
0.9%
0.0588000007 2586
 
0.8%
0.08410000056 1864
 
0.6%
0.1209999993 1793
 
0.6%
0.006699999794 1695
 
0.6%
0.06049999967 1492
 
0.5%
0.1009000018 1456
 
0.5%
0.01339999959 1447
 
0.5%
Other values (1858) 73698
 
24.0%
(Missing) 210199
68.4%
ValueCountFrequency (%)
0 418
0.1%
0.0007999999798 117
 
< 0.1%
0.001300000004 1
 
< 0.1%
0.001700000023 250
0.1%
0.002099999925 2
 
< 0.1%
ValueCountFrequency (%)
1 92
< 0.1%
0.9994000196 3
 
< 0.1%
0.9901000261 3
 
< 0.1%
0.9641000032 2
 
< 0.1%
0.949000001 4
 
< 0.1%

LIVINGAREA_AVG
Real number (ℝ)

Missing 

Distinct5199
Distinct (%)3.4%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1073990194
Minimum0
Maximum1
Zeros284
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:14.996650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00820000004
Q10.04529999942
median0.07450000197
Q30.1298999935
95-th percentile0.3204999864
Maximum1
Range1
Interquartile range (IQR)0.08459999412

Descriptive statistics

Standard deviation0.1105645224
Coefficient of variation (CV)1.029474227
Kurtosis12.33117485
Mean0.1073990194
Median Absolute Deviation (MAD)0.03890000284
Skewness2.854736567
Sum16449.34121
Variance0.01222451404
MonotonicityNot monotonic
2025-03-25T05:06:15.073827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 284
 
0.1%
0.05119999871 243
 
0.1%
0.07020000368 223
 
0.1%
0.05099999905 223
 
0.1%
0.05090000108 221
 
0.1%
0.05380000174 220
 
0.1%
0.06379999965 215
 
0.1%
0.0513000004 210
 
0.1%
0.05110000074 209
 
0.1%
0.06260000169 205
 
0.1%
Other values (5189) 150908
49.1%
(Missing) 154350
50.2%
ValueCountFrequency (%)
0 284
0.1%
9.999999747 × 10-54
 
< 0.1%
0.0001999999949 8
 
< 0.1%
0.0003000000142 10
 
< 0.1%
0.0003999999899 14
 
< 0.1%
ValueCountFrequency (%)
1 150
< 0.1%
0.9983999729 1
 
< 0.1%
0.9977999926 1
 
< 0.1%
0.9893000126 1
 
< 0.1%
0.9860000014 1
 
< 0.1%

NONLIVINGAPARTMENTS_AVG
Real number (ℝ)

Missing  Zeros 

Distinct386
Distinct (%)0.4%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008808672606
Minimum0
Maximum1
Zeros54549
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:15.154524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003899999894
95-th percentile0.03089999966
Maximum1
Range1
Interquartile range (IQR)0.003899999894

Descriptive statistics

Standard deviation0.04773166403
Coefficient of variation (CV)5.418712463
Kurtosis284.7303467
Mean0.008808672606
Median Absolute Deviation (MAD)0
Skewness15.54118538
Sum827.9887989
Variance0.002278311644
MonotonicityNot monotonic
2025-03-25T05:06:15.235109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54549
 
17.7%
0.003899999894 13606
 
4.4%
0.007699999958 6351
 
2.1%
0.01159999985 3714
 
1.2%
0.01539999992 2533
 
0.8%
0.01930000074 1673
 
0.5%
0.001900000032 1250
 
0.4%
0.0231999997 1195
 
0.4%
0.0270000007 865
 
0.3%
0.03089999966 717
 
0.2%
Other values (376) 7544
 
2.5%
(Missing) 213514
69.4%
ValueCountFrequency (%)
0 54549
17.7%
0.0001999999949 1
 
< 0.1%
0.0003000000142 5
 
< 0.1%
0.0003999999899 25
 
< 0.1%
0.0005000000237 6
 
< 0.1%
ValueCountFrequency (%)
1 97
< 0.1%
0.9961000085 2
 
< 0.1%
0.992299974 4
 
< 0.1%
0.9883999825 1
 
< 0.1%
0.97299999 3
 
< 0.1%

NONLIVINGAREA_AVG
Real number (ℝ)

Missing  Zeros 

Distinct3290
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.0283577571
Minimum0
Maximum1
Zeros58735
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:15.315813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003599999938
Q30.02769999951
95-th percentile0.1279000044
Maximum1
Range1
Interquartile range (IQR)0.02769999951

Descriptive statistics

Standard deviation0.06952318549
Coefficient of variation (CV)2.451646132
Kurtosis64.91242218
Mean0.0283577571
Median Absolute Deviation (MAD)0.003599999938
Skewness6.559011936
Sum3908.521303
Variance0.004833473358
MonotonicityNot monotonic
2025-03-25T05:06:15.395111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58735
 
19.1%
0.001200000057 546
 
0.2%
0.004399999976 454
 
0.1%
0.002199999988 440
 
0.1%
0.003100000089 415
 
0.1%
0.001000000047 405
 
0.1%
0.001099999994 405
 
0.1%
0.003599999938 399
 
0.1%
0.003000000026 397
 
0.1%
0.002400000114 395
 
0.1%
Other values (3280) 75238
24.5%
(Missing) 169682
55.2%
ValueCountFrequency (%)
0 58735
19.1%
9.999999747 × 10-5163
 
0.1%
0.0001999999949 107
 
< 0.1%
0.0003000000142 95
 
< 0.1%
0.0003999999899 162
 
0.1%
ValueCountFrequency (%)
1 136
< 0.1%
0.9955999851 1
 
< 0.1%
0.9822999835 1
 
< 0.1%
0.9764000177 1
 
< 0.1%
0.959100008 2
 
< 0.1%

APARTMENTS_MODE
Real number (ℝ)

Missing 

Distinct760
Distinct (%)0.5%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1142310066
Minimum0
Maximum1
Zeros976
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:15.470708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0083999997
Q10.05249999836
median0.08399999887
Q30.143900007
95-th percentile0.3192999959
Maximum1
Range1
Interquartile range (IQR)0.09140000865

Descriptive statistics

Standard deviation0.1079360321
Coefficient of variation (CV)0.944892594
Kurtosis11.74605656
Mean0.1142310066
Median Absolute Deviation (MAD)0.04210000485
Skewness2.703051805
Sum17300.28594
Variance0.01165018696
MonotonicityNot monotonic
2025-03-25T05:06:15.593913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08399999887 7522
 
2.4%
0.06300000101 7451
 
2.4%
0.09449999779 4757
 
1.5%
0.07349999994 4388
 
1.4%
0.0083999997 3970
 
1.3%
0.0167999994 3324
 
1.1%
0.1049999967 3116
 
1.0%
0.1512999982 3039
 
1.0%
0.01260000002 3034
 
1.0%
0.07559999824 2973
 
1.0%
Other values (750) 107876
35.1%
(Missing) 156061
50.7%
ValueCountFrequency (%)
0 976
0.3%
0.001099999994 285
 
0.1%
0.002099999925 1006
0.3%
0.003199999919 431
0.1%
0.00419999985 1069
0.3%
ValueCountFrequency (%)
1 150
< 0.1%
0.9988999963 1
 
< 0.1%
0.9947000146 1
 
< 0.1%
0.9883999825 1
 
< 0.1%
0.9853000045 1
 
< 0.1%

BASEMENTAREA_MODE
Real number (ℝ)

Missing  Zeros 

Distinct3841
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08754321228
Minimum0
Maximum1
Zeros16598
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:15.763454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04069999978
median0.07460000366
Q30.1124000028
95-th percentile0.227699995
Maximum1
Range1
Interquartile range (IQR)0.071700003

Descriptive statistics

Standard deviation0.0843071714
Coefficient of variation (CV)0.963034931
Kurtosis24.43118858
Mean0.08754321228
Median Absolute Deviation (MAD)0.03579999506
Skewness3.481533051
Sum11167.7125
Variance0.007107699756
MonotonicityNot monotonic
2025-03-25T05:06:15.867060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16598
 
5.4%
0.05660000071 269
 
0.1%
0.0848999992 265
 
0.1%
0.06419999897 253
 
0.1%
0.08299999684 251
 
0.1%
0.1132000014 243
 
0.1%
0.07919999957 241
 
0.1%
0.08259999752 238
 
0.1%
0.067900002 222
 
0.1%
0.07549999654 215
 
0.1%
Other values (3831) 108773
35.4%
(Missing) 179943
58.5%
ValueCountFrequency (%)
0 16598
5.4%
9.999999747 × 10-5105
 
< 0.1%
0.0001999999949 41
 
< 0.1%
0.0003000000142 10
 
< 0.1%
0.0003999999899 33
 
< 0.1%
ValueCountFrequency (%)
1 133
< 0.1%
0.9909999967 2
 
< 0.1%
0.9842000008 2
 
< 0.1%
0.9786999822 4
 
< 0.1%
0.9577999711 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_MODE
Real number (ℝ)

Missing 

Distinct221
Distinct (%)0.1%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9770653727
Minimum0
Maximum1
Zeros142
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:15.975368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9682000279
Q10.9767000079
median0.9815999866
Q30.9865999818
95-th percentile0.9959999919
Maximum1
Range1
Interquartile range (IQR)0.009899973869

Descriptive statistics

Standard deviation0.06457542628
Coefficient of variation (CV)0.0660912034
Kurtosis219.9627686
Mean0.9770653727
Median Absolute Deviation (MAD)0.004999995232
Skewness-14.75531864
Sum153891.7045
Variance0.004169986118
MonotonicityNot monotonic
2025-03-25T05:06:16.071562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9871000051 4291
 
1.4%
0.9865999818 4173
 
1.4%
0.986100018 4167
 
1.4%
0.9800999761 4110
 
1.3%
0.9805999994 4083
 
1.3%
0.9855999947 4075
 
1.3%
0.9850999713 4016
 
1.3%
0.9815999866 3976
 
1.3%
0.9796000123 3974
 
1.3%
0.9790999889 3935
 
1.3%
Other values (211) 116704
38.0%
(Missing) 150007
48.8%
ValueCountFrequency (%)
0 142
 
< 0.1%
0.0005000000237 525
0.2%
0.01840000041 1
 
< 0.1%
0.04520000145 1
 
< 0.1%
0.09730000049 1
 
< 0.1%
ValueCountFrequency (%)
1 211
 
0.1%
0.9994999766 702
0.2%
0.9990000129 915
0.3%
0.9984999895 1053
0.3%
0.9980000257 1065
0.3%

YEARS_BUILD_MODE
Real number (ℝ)

Missing 

Distinct154
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7596373218
Minimum0
Maximum1
Zeros103
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:16.152414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6079999804
Q10.6994000077
median0.7648000121
Q30.8235999942
95-th percentile0.9542999864
Maximum1
Range1
Interquartile range (IQR)0.1241999865

Descriptive statistics

Standard deviation0.110111028
Coefficient of variation (CV)0.1449521038
Kurtosis4.764472485
Mean0.7596373218
Median Absolute Deviation (MAD)0.06529998779
Skewness-1.002304196
Sum78260.11581
Variance0.01212443784
MonotonicityNot monotonic
2025-03-25T05:06:16.233772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8300999999 2960
 
1.0%
0.8235999942 2879
 
0.9%
0.7386999726 2789
 
0.9%
0.8170999885 2763
 
0.9%
0.8105000257 2755
 
0.9%
0.7451999784 2737
 
0.9%
0.8367000222 2711
 
0.9%
0.80400002 2707
 
0.9%
0.7583000064 2704
 
0.9%
0.7778999805 2689
 
0.9%
Other values (144) 75329
 
24.5%
(Missing) 204488
66.5%
ValueCountFrequency (%)
0 103
< 0.1%
0.0003000000142 3
 
< 0.1%
0.01339999959 2
 
< 0.1%
0.01989999972 2
 
< 0.1%
0.02649999969 2
 
< 0.1%
ValueCountFrequency (%)
1 183
 
0.1%
0.9934999943 487
0.2%
0.986899972 653
0.2%
0.9804000258 791
0.3%
0.9739000201 779
0.3%

COMMONAREA_MODE
Real number (ℝ)

Missing  Zeros 

Distinct3128
Distinct (%)3.4%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04255313778
Minimum0
Maximum1
Zeros9690
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:16.313883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007199999876
median0.01899999939
Q30.04899999872
95-th percentile0.1532000005
Maximum1
Range1
Interquartile range (IQR)0.04179999884

Descriptive statistics

Standard deviation0.07444452494
Coefficient of variation (CV)1.749448544
Kurtosis48.86099625
Mean0.04255313778
Median Absolute Deviation (MAD)0.01640000008
Skewness5.620589256
Sum3942.378003
Variance0.005541986786
MonotonicityNot monotonic
2025-03-25T05:06:16.717301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9690
 
3.2%
0.00800000038 546
 
0.2%
0.007899999619 543
 
0.2%
0.007799999788 518
 
0.2%
0.00810000021 416
 
0.1%
0.008700000122 397
 
0.1%
0.00139999995 394
 
0.1%
0.007000000216 363
 
0.1%
0.007100000046 341
 
0.1%
0.001200000057 332
 
0.1%
Other values (3118) 79106
 
25.7%
(Missing) 214865
69.9%
ValueCountFrequency (%)
0 9690
3.2%
9.999999747 × 10-560
 
< 0.1%
0.0001999999949 52
 
< 0.1%
0.0003000000142 68
 
< 0.1%
0.0003999999899 63
 
< 0.1%
ValueCountFrequency (%)
1 89
< 0.1%
0.9997000098 2
 
< 0.1%
0.992299974 1
 
< 0.1%
0.9689000249 1
 
< 0.1%
0.9639000297 1
 
< 0.1%

ELEVATORS_MODE
Real number (ℝ)

Missing  Zeros 

Distinct26
Distinct (%)< 0.1%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07448973609
Minimum0
Maximum1
Zeros89498
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:16.787978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1208000034
95-th percentile0.3222000003
Maximum1
Range1
Interquartile range (IQR)0.1208000034

Descriptive statistics

Standard deviation0.1322561353
Coefficient of variation (CV)1.77549475
Kurtosis8.59794426
Mean0.07448973609
Median Absolute Deviation (MAD)0
Skewness2.552281141
Sum10698.2159
Variance0.01749168523
MonotonicityNot monotonic
2025-03-25T05:06:16.854611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 89498
29.1%
0.08060000092 11629
 
3.8%
0.1611000001 9675
 
3.1%
0.2416999936 6379
 
2.1%
0.1208000034 5734
 
1.9%
0.04030000046 4876
 
1.6%
0.2013999969 3962
 
1.3%
0.3222000003 2887
 
0.9%
0.2820000052 2135
 
0.7%
0.4027999938 1554
 
0.5%
Other values (16) 5291
 
1.7%
(Missing) 163891
53.3%
ValueCountFrequency (%)
0 89498
29.1%
0.04030000046 4876
 
1.6%
0.08060000092 11629
 
3.8%
0.1208000034 5734
 
1.9%
0.1611000001 9675
 
3.1%
ValueCountFrequency (%)
1 144
< 0.1%
0.9667000175 87
< 0.1%
0.9264000058 20
 
< 0.1%
0.8862000108 66
< 0.1%
0.8458999991 34
 
< 0.1%

ENTRANCES_MODE
Real number (ℝ)

Missing 

Distinct30
Distinct (%)< 0.1%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1451926572
Minimum0
Maximum1
Zeros387
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:16.917167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03449999914
Q10.06899999827
median0.1378999949
Q30.2069000006
95-th percentile0.3102999926
Maximum1
Range1
Interquartile range (IQR)0.1379000023

Descriptive statistics

Standard deviation0.1009769887
Coefficient of variation (CV)0.6954689765
Kurtosis11.4224596
Mean0.1451926572
Median Absolute Deviation (MAD)0.06889999658
Skewness2.392343521
Sum22168.45047
Variance0.01019635238
MonotonicityNot monotonic
2025-03-25T05:06:16.987211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.1378999949 36041
 
11.7%
0.06899999827 26704
 
8.7%
0.1033999994 20533
 
6.7%
0.2069000006 19678
 
6.4%
0.03449999914 19428
 
6.3%
0.1723999977 8986
 
2.9%
0.2759000063 8036
 
2.6%
0.2414000034 4013
 
1.3%
0.3447999954 2046
 
0.7%
0.3102999926 2014
 
0.7%
Other values (20) 5204
 
1.7%
(Missing) 154828
50.3%
ValueCountFrequency (%)
0 387
 
0.1%
0.03449999914 19428
6.3%
0.06899999827 26704
8.7%
0.1033999994 20533
6.7%
0.1378999949 36041
11.7%
ValueCountFrequency (%)
1 152
< 0.1%
0.9654999971 25
 
< 0.1%
0.9309999943 21
 
< 0.1%
0.896600008 52
 
< 0.1%
0.8621000051 14
 
< 0.1%

FLOORSMAX_MODE
Real number (ℝ)

Missing  Zeros 

Distinct25
Distinct (%)< 0.1%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2223150488
Minimum0
Maximum1
Zeros3415
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.051238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04170000181
Q10.1667000055
median0.1667000055
Q30.3332999945
95-th percentile0.4582999945
Maximum1
Range1
Interquartile range (IQR)0.1665999889

Descriptive statistics

Standard deviation0.1437094063
Coefficient of variation (CV)0.6464223048
Kurtosis2.535687685
Mean0.2223150488
Median Absolute Deviation (MAD)0.08340000361
Skewness1.244342566
Sum34345.67421
Variance0.02065239288
MonotonicityNot monotonic
2025-03-25T05:06:17.111305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.1667000055 65550
21.3%
0.3332999945 34373
 
11.2%
0.04170000181 15616
 
5.1%
0.375 8321
 
2.7%
0.125 7267
 
2.4%
0.08330000192 6785
 
2.2%
0 3415
 
1.1%
0.4582999945 3216
 
1.0%
0.625 2075
 
0.7%
0.5417000055 1836
 
0.6%
Other values (15) 6037
 
2.0%
(Missing) 153020
49.8%
ValueCountFrequency (%)
0 3415
 
1.1%
0.04170000181 15616
 
5.1%
0.08330000192 6785
 
2.2%
0.125 7267
 
2.4%
0.1667000055 65550
21.3%
ValueCountFrequency (%)
1 164
0.1%
0.9582999945 94
< 0.1%
0.9167000055 38
 
< 0.1%
0.875 229
0.1%
0.8332999945 22
 
< 0.1%

FLOORSMIN_MODE
Real number (ℝ)

Missing 

Distinct25
Distinct (%)< 0.1%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2280584915
Minimum0
Maximum1
Zeros2517
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.173447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04170000181
Q10.08330000192
median0.2082999945
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2916999981

Descriptive statistics

Standard deviation0.1611597538
Coefficient of variation (CV)0.7066597379
Kurtosis1.35372591
Mean0.2280584915
Median Absolute Deviation (MAD)0.1665999889
Skewness0.9638348818
Sum22547.91499
Variance0.02597246692
MonotonicityNot monotonic
2025-03-25T05:06:17.236016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.2082999945 34403
 
11.2%
0.375 19042
 
6.2%
0.04170000181 18917
 
6.2%
0.08330000192 5349
 
1.7%
0.4167000055 4105
 
1.3%
0.1667000055 3636
 
1.2%
0.125 3170
 
1.0%
0 2517
 
0.8%
0.5 1889
 
0.6%
0.6667000055 1264
 
0.4%
Other values (15) 4577
 
1.5%
(Missing) 208642
67.8%
ValueCountFrequency (%)
0 2517
 
0.8%
0.04170000181 18917
6.2%
0.08330000192 5349
 
1.7%
0.125 3170
 
1.0%
0.1667000055 3636
 
1.2%
ValueCountFrequency (%)
1 141
< 0.1%
0.9582999945 17
 
< 0.1%
0.9167000055 131
< 0.1%
0.875 9
 
< 0.1%
0.8332999945 22
 
< 0.1%

LANDAREA_MODE
Real number (ℝ)

Missing  Zeros 

Distinct3563
Distinct (%)2.9%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06495768448
Minimum0
Maximum1
Zeros17453
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.310253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01659999974
median0.04580000043
Q30.08410000056
95-th percentile0.195600003
Maximum1
Range1
Interquartile range (IQR)0.06750000082

Descriptive statistics

Standard deviation0.08175028116
Coefficient of variation (CV)1.258515937
Kurtosis33.27326965
Mean0.06495768448
Median Absolute Deviation (MAD)0.03200000152
Skewness4.377026558
Sum8114.578903
Variance0.006683107931
MonotonicityNot monotonic
2025-03-25T05:06:17.387794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17453
 
5.7%
0.01940000057 208
 
0.1%
0.0644999966 193
 
0.1%
0.04839999974 192
 
0.1%
0.03229999915 188
 
0.1%
0.01470000017 178
 
0.1%
0.01109999977 175
 
0.1%
0.01439999975 175
 
0.1%
0.02580000088 173
 
0.1%
0.02419999987 172
 
0.1%
Other values (3553) 105814
34.4%
(Missing) 182590
59.4%
ValueCountFrequency (%)
0 17453
5.7%
9.999999747 × 10-524
 
< 0.1%
0.0001999999949 14
 
< 0.1%
0.0003000000142 6
 
< 0.1%
0.0003999999899 14
 
< 0.1%
ValueCountFrequency (%)
1 129
< 0.1%
0.9911000133 1
 
< 0.1%
0.9714000225 1
 
< 0.1%
0.9664999843 2
 
< 0.1%
0.9587000012 3
 
< 0.1%

LIVINGAPARTMENTS_MODE
Real number (ℝ)

Missing 

Distinct736
Distinct (%)0.8%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.105644857
Minimum0
Maximum1
Zeros519
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.465869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01099999994
Q10.05420000106
median0.07710000128
Q30.1313000023
95-th percentile0.2948000133
Maximum1
Range1
Interquartile range (IQR)0.07710000128

Descriptive statistics

Standard deviation0.09788045287
Coefficient of variation (CV)0.9265046655
Kurtosis14.2249918
Mean0.105644857
Median Absolute Deviation (MAD)0.03390000015
Skewness2.902671576
Sum10280.51232
Variance0.00958058238
MonotonicityNot monotonic
2025-03-25T05:06:17.555033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05510000139 4931
 
1.6%
0.07349999994 4797
 
1.6%
0.08259999752 2966
 
1.0%
0.06430000067 2853
 
0.9%
0.09179999679 2069
 
0.7%
0.1322000027 1972
 
0.6%
0.06610000134 1930
 
0.6%
0.007300000172 1883
 
0.6%
0.01470000017 1585
 
0.5%
0.0588000007 1519
 
0.5%
Other values (726) 70807
 
23.0%
(Missing) 210199
68.4%
ValueCountFrequency (%)
0 519
0.2%
0.0008999999845 156
 
0.1%
0.001799999969 295
0.1%
0.0027999999 146
 
< 0.1%
0.003700000001 413
0.1%
ValueCountFrequency (%)
1 94
< 0.1%
0.9825999737 1
 
< 0.1%
0.9815999866 2
 
< 0.1%
0.9779999852 1
 
< 0.1%
0.9761000276 1
 
< 0.1%

LIVINGAREA_MODE
Real number (ℝ)

Missing 

Distinct5301
Distinct (%)3.5%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1059750505
Minimum0
Maximum1
Zeros444
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.642768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007899999619
Q10.04270000011
median0.07310000062
Q30.1252000034
95-th percentile0.3230000138
Maximum1
Range1
Interquartile range (IQR)0.08250000328

Descriptive statistics

Standard deviation0.1118452698
Coefficient of variation (CV)1.055392465
Kurtosis12.45906258
Mean0.1059750505
Median Absolute Deviation (MAD)0.03909999877
Skewness2.902491093
Sum16231.24471
Variance0.0125093637
MonotonicityNot monotonic
2025-03-25T05:06:17.732915image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 444
 
0.1%
0.05299999937 272
 
0.1%
0.05319999903 262
 
0.1%
0.05290000141 249
 
0.1%
0.05330000073 242
 
0.1%
0.0560999997 224
 
0.1%
0.06560000032 224
 
0.1%
0.07339999825 223
 
0.1%
0.05359999835 222
 
0.1%
0.05249999836 220
 
0.1%
Other values (5291) 150579
49.0%
(Missing) 154350
50.2%
ValueCountFrequency (%)
0 444
0.1%
9.999999747 × 10-57
 
< 0.1%
0.0001999999949 7
 
< 0.1%
0.0003000000142 16
 
< 0.1%
0.0003999999899 24
 
< 0.1%
ValueCountFrequency (%)
1 150
< 0.1%
0.9950000048 3
 
< 0.1%
0.992200017 13
 
< 0.1%
0.9886000156 2
 
< 0.1%
0.986800015 1
 
< 0.1%

NONLIVINGAPARTMENTS_MODE
Real number (ℝ)

Missing  Zeros 

Distinct167
Distinct (%)0.2%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008076387497
Minimum0
Maximum1
Zeros59255
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.815013image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003899999894
95-th percentile0.02720000036
Maximum1
Range1
Interquartile range (IQR)0.003899999894

Descriptive statistics

Standard deviation0.04627626762
Coefficient of variation (CV)5.729822601
Kurtosis309.7269592
Mean0.008076387497
Median Absolute Deviation (MAD)0
Skewness16.25181961
Sum759.1561956
Variance0.002141492907
MonotonicityNot monotonic
2025-03-25T05:06:17.892157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59255
 
19.3%
0.003899999894 14105
 
4.6%
0.007799999788 6413
 
2.1%
0.01169999968 3675
 
1.2%
0.01559999958 2492
 
0.8%
0.0195000004 1653
 
0.5%
0.02329999954 1177
 
0.4%
0.02720000036 840
 
0.3%
0.03109999932 711
 
0.2%
0.03500000015 527
 
0.2%
Other values (157) 3149
 
1.0%
(Missing) 213514
69.4%
ValueCountFrequency (%)
0 59255
19.3%
0.003899999894 14105
 
4.6%
0.007799999788 6413
 
2.1%
0.01169999968 3675
 
1.2%
0.01559999958 2492
 
0.8%
ValueCountFrequency (%)
1 100
< 0.1%
0.9961000085 1
 
< 0.1%
0.9804999828 3
 
< 0.1%
0.9649999738 2
 
< 0.1%
0.9532999992 2
 
< 0.1%

NONLIVINGAREA_MODE
Real number (ℝ)

Missing  Zeros 

Distinct3327
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02702231971
Minimum0
Maximum1
Zeros67126
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:17.970024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.001099999994
Q30.02309999987
95-th percentile0.1294
Maximum1
Range1
Interquartile range (IQR)0.02309999987

Descriptive statistics

Standard deviation0.07025386393
Coefficient of variation (CV)2.599845783
Kurtosis63.35707474
Mean0.02702231971
Median Absolute Deviation (MAD)0.001099999994
Skewness6.522450924
Sum3724.459303
Variance0.004935604986
MonotonicityNot monotonic
2025-03-25T05:06:18.050111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67126
 
21.8%
0.001099999994 477
 
0.2%
0.004600000102 466
 
0.2%
0.003299999982 430
 
0.1%
0.001200000057 427
 
0.1%
0.002300000051 426
 
0.1%
0.001300000004 410
 
0.1%
0.003000000026 370
 
0.1%
0.00549999997 363
 
0.1%
0.003700000001 357
 
0.1%
Other values (3317) 66977
 
21.8%
(Missing) 169682
55.2%
ValueCountFrequency (%)
0 67126
21.8%
9.999999747 × 10-5123
 
< 0.1%
0.0001999999949 125
 
< 0.1%
0.0003000000142 61
 
< 0.1%
0.0003999999899 90
 
< 0.1%
ValueCountFrequency (%)
1 135
< 0.1%
0.9878000021 1
 
< 0.1%
0.9851999879 1
 
< 0.1%
0.9840000272 5
 
< 0.1%
0.9751999974 1
 
< 0.1%

APARTMENTS_MEDI
Real number (ℝ)

Missing 

Distinct1148
Distinct (%)0.8%
Missing156061
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1178499209
Minimum0
Maximum1
Zeros771
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:18.125373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00829999987
Q10.05829999968
median0.08640000224
Q30.1489000022
95-th percentile0.3300000131
Maximum1
Range1
Interquartile range (IQR)0.09060000256

Descriptive statistics

Standard deviation0.1090759113
Coefficient of variation (CV)0.9255492963
Kurtosis11.2421875
Mean0.1178499209
Median Absolute Deviation (MAD)0.04369999468
Skewness2.639255285
Sum17848.37052
Variance0.01189755369
MonotonicityNot monotonic
2025-03-25T05:06:18.201951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08330000192 7109
 
2.3%
0.0625 6687
 
2.2%
0.09369999915 4622
 
1.5%
0.07289999723 4211
 
1.4%
0.00829999987 3562
 
1.2%
0.01669999957 3098
 
1.0%
0.1040999964 3097
 
1.0%
0.1499000043 2992
 
1.0%
0.01250000019 2801
 
0.9%
0.07490000129 2559
 
0.8%
Other values (1138) 110712
36.0%
(Missing) 156061
50.7%
ValueCountFrequency (%)
0 771
0.3%
0.001000000047 199
 
0.1%
0.00159999996 6
 
< 0.1%
0.002099999925 808
0.3%
0.002600000007 13
 
< 0.1%
ValueCountFrequency (%)
1 142
< 0.1%
0.9993000031 1
 
< 0.1%
0.9972000122 7
 
< 0.1%
0.9909999967 9
 
< 0.1%
0.9898999929 1
 
< 0.1%

BASEMENTAREA_MEDI
Real number (ℝ)

Missing  Zeros 

Distinct3772
Distinct (%)3.0%
Missing179943
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08795485468
Minimum0
Maximum1
Zeros14991
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:18.279661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04369999841
median0.07580000162
Q30.1115999967
95-th percentile0.2231000066
Maximum1
Range1
Interquartile range (IQR)0.06789999828

Descriptive statistics

Standard deviation0.08217875659
Coefficient of variation (CV)0.9343288315
Kurtosis25.8297596
Mean0.08795485468
Median Absolute Deviation (MAD)0.03400000185
Skewness3.553039312
Sum11220.2249
Variance0.006753347814
MonotonicityNot monotonic
2025-03-25T05:06:18.397416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14991
 
4.9%
0.08179999888 271
 
0.1%
0.1090999991 266
 
0.1%
0.05449999869 265
 
0.1%
0.0727000013 248
 
0.1%
0.07959999889 246
 
0.1%
0.07999999821 240
 
0.1%
0.08049999923 234
 
0.1%
0.06549999863 221
 
0.1%
0.07970000058 209
 
0.1%
Other values (3762) 110377
35.9%
(Missing) 179943
58.5%
ValueCountFrequency (%)
0 14991
4.9%
9.999999747 × 10-5106
 
< 0.1%
0.0001999999949 39
 
< 0.1%
0.0003000000142 8
 
< 0.1%
0.0003999999899 31
 
< 0.1%
ValueCountFrequency (%)
1 130
< 0.1%
0.9944999814 1
 
< 0.1%
0.9693999887 2
 
< 0.1%
0.9682000279 1
 
< 0.1%
0.9677000046 1
 
< 0.1%

YEARS_BEGINEXPLUATATION_MEDI
Real number (ℝ)

Missing 

Distinct245
Distinct (%)0.2%
Missing150007
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.977752264
Minimum0
Maximum1
Zeros548
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:18.510103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9686999917
Q10.9767000079
median0.9815999866
Q30.9865999818
95-th percentile0.9959999919
Maximum1
Range1
Interquartile range (IQR)0.009899973869

Descriptive statistics

Standard deviation0.05989731476
Coefficient of variation (CV)0.06126021587
Kurtosis248.3965149
Mean0.977752264
Median Absolute Deviation (MAD)0.004999995232
Skewness-15.57312393
Sum153999.8926
Variance0.003587688319
MonotonicityNot monotonic
2025-03-25T05:06:18.628190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9871000051 4314
 
1.4%
0.986100018 4247
 
1.4%
0.9855999947 4199
 
1.4%
0.9865999818 4138
 
1.3%
0.9800999761 4115
 
1.3%
0.9805999994 4069
 
1.3%
0.9850999713 4032
 
1.3%
0.9796000123 3963
 
1.3%
0.9876000285 3948
 
1.3%
0.9815999866 3930
 
1.3%
Other values (235) 116549
37.9%
(Missing) 150007
48.8%
ValueCountFrequency (%)
0 548
0.2%
0.0178999994 1
 
< 0.1%
0.04470000044 1
 
< 0.1%
0.09690000117 1
 
< 0.1%
0.09740000218 1
 
< 0.1%
ValueCountFrequency (%)
1 206
 
0.1%
0.9994999766 717
0.2%
0.9990000129 926
0.3%
0.9984999895 1073
0.3%
0.9980000257 1114
0.4%

YEARS_BUILD_MEDI
Real number (ℝ)

Missing 

Distinct151
Distinct (%)0.1%
Missing204488
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7557462732
Minimum0
Maximum1
Zeros101
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:18.709399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5975000262
Q10.6913999915
median0.75849998
Q30.825600028
95-th percentile0.9530000091
Maximum1
Range1
Interquartile range (IQR)0.1342000365

Descriptive statistics

Standard deviation0.1120663211
Coefficient of variation (CV)0.1482856417
Kurtosis4.468809605
Mean0.7557462732
Median Absolute Deviation (MAD)0.06709998846
Skewness-0.9627835751
Sum77859.2483
Variance0.01255885977
MonotonicityNot monotonic
2025-03-25T05:06:18.793010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.825600028 2994
 
1.0%
0.8188999891 2883
 
0.9%
0.8054000139 2842
 
0.9%
0.7315999866 2799
 
0.9%
0.8120999932 2784
 
0.9%
0.8323000073 2740
 
0.9%
0.7383000255 2739
 
0.9%
0.798699975 2700
 
0.9%
0.7518000007 2687
 
0.9%
0.7718999982 2686
 
0.9%
Other values (141) 75169
 
24.4%
(Missing) 204488
66.5%
ValueCountFrequency (%)
0 101
< 0.1%
0.0003000000142 2
 
< 0.1%
0.007100000046 1
 
< 0.1%
0.01379999984 2
 
< 0.1%
0.02050000057 3
 
< 0.1%
ValueCountFrequency (%)
1 182
 
0.1%
0.9933000207 494
0.2%
0.9865999818 665
0.2%
0.9799000025 802
0.3%
0.9732000232 819
0.3%

COMMONAREA_MEDI
Real number (ℝ)

Missing  Zeros 

Distinct3202
Distinct (%)3.5%
Missing214865
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04459510181
Minimum0
Maximum1
Zeros8691
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:18.877937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007899999619
median0.02080000006
Q30.0513000004
95-th percentile0.1608999968
Maximum1
Range1
Interquartile range (IQR)0.04340000078

Descriptive statistics

Standard deviation0.07614426315
Coefficient of variation (CV)1.707457996
Kurtosis45.26358414
Mean0.04459510181
Median Absolute Deviation (MAD)0.01720000058
Skewness5.419238567
Sum4131.557802
Variance0.005797948688
MonotonicityNot monotonic
2025-03-25T05:06:18.964562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8691
 
2.8%
0.007899999619 581
 
0.2%
0.00800000038 486
 
0.2%
0.007799999788 481
 
0.2%
0.00139999995 377
 
0.1%
0.008600000292 376
 
0.1%
0.00810000021 337
 
0.1%
0.007100000046 336
 
0.1%
0.008700000122 309
 
0.1%
0.001200000057 308
 
0.1%
Other values (3192) 80364
 
26.1%
(Missing) 214865
69.9%
ValueCountFrequency (%)
0 8691
2.8%
9.999999747 × 10-557
 
< 0.1%
0.0001999999949 49
 
< 0.1%
0.0003000000142 73
 
< 0.1%
0.0003999999899 63
 
< 0.1%
ValueCountFrequency (%)
1 90
< 0.1%
0.996900022 2
 
< 0.1%
0.9896000028 1
 
< 0.1%
0.9661999941 1
 
< 0.1%
0.9613000154 1
 
< 0.1%

ELEVATORS_MEDI
Real number (ℝ)

Missing  Zeros 

Distinct46
Distinct (%)< 0.1%
Missing163891
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07807784365
Minimum0
Maximum1
Zeros87026
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:19.042207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1199999973
95-th percentile0.3600000143
Maximum1
Range1
Interquartile range (IQR)0.1199999973

Descriptive statistics

Standard deviation0.1344671547
Coefficient of variation (CV)1.722219114
Kurtosis7.963977814
Mean0.07807784365
Median Absolute Deviation (MAD)0
Skewness2.457823992
Sum11213.53991
Variance0.01808141731
MonotonicityNot monotonic
2025-03-25T05:06:19.121002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 87026
28.3%
0.07999999821 10832
 
3.5%
0.1599999964 9278
 
3.0%
0.2399999946 6392
 
2.1%
0.1199999973 5946
 
1.9%
0.03999999911 4852
 
1.6%
0.200000003 4162
 
1.4%
0.3199999928 2937
 
1.0%
0.2800000012 2317
 
0.8%
0.400000006 1604
 
0.5%
Other values (36) 8274
 
2.7%
(Missing) 163891
53.3%
ValueCountFrequency (%)
0 87026
28.3%
0.01999999955 368
 
0.1%
0.03999999911 4852
 
1.6%
0.05999999866 388
 
0.1%
0.07999999821 10832
 
3.5%
ValueCountFrequency (%)
1 158
0.1%
0.9599999785 81
< 0.1%
0.9200000167 20
 
< 0.1%
0.8999999762 6
 
< 0.1%
0.8799999952 68
< 0.1%

ENTRANCES_MEDI
Real number (ℝ)

Missing 

Distinct46
Distinct (%)< 0.1%
Missing154828
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1492127793
Minimum0
Maximum1
Zeros329
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:19.202640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03449999914
Q10.06899999827
median0.1378999949
Q30.2069000006
95-th percentile0.3102999926
Maximum1
Range1
Interquartile range (IQR)0.1379000023

Descriptive statistics

Standard deviation0.1003683954
Coefficient of variation (CV)0.6726528109
Kurtosis11.47406673
Mean0.1492127793
Median Absolute Deviation (MAD)0.06889999658
Skewness2.387711048
Sum22782.25479
Variance0.01007381454
MonotonicityNot monotonic
2025-03-25T05:06:19.284719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.1378999949 35535
 
11.6%
0.06899999827 24193
 
7.9%
0.1033999994 20492
 
6.7%
0.2069000006 19750
 
6.4%
0.03449999914 16150
 
5.3%
0.1723999977 9566
 
3.1%
0.2759000063 8048
 
2.6%
0.2414000034 4318
 
1.4%
0.3447999954 2108
 
0.7%
0.3102999926 2086
 
0.7%
Other values (36) 10437
 
3.4%
(Missing) 154828
50.3%
ValueCountFrequency (%)
0 329
 
0.1%
0.01720000058 7
 
< 0.1%
0.03449999914 16150
5.3%
0.05169999972 611
 
0.2%
0.06899999827 24193
7.9%
ValueCountFrequency (%)
1 153
< 0.1%
0.9654999971 25
 
< 0.1%
0.9309999943 21
 
< 0.1%
0.896600008 52
 
< 0.1%
0.8621000051 14
 
< 0.1%

FLOORSMAX_MEDI
Real number (ℝ)

Missing 

Distinct49
Distinct (%)< 0.1%
Missing153020
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2258965914
Minimum0
Maximum1
Zeros2995
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:19.677238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04170000181
Q10.1667000055
median0.1667000055
Q30.3332999945
95-th percentile0.4792000055
Maximum1
Range1
Interquartile range (IQR)0.1665999889

Descriptive statistics

Standard deviation0.1450670213
Coefficient of variation (CV)0.6421833121
Kurtosis2.468554735
Mean0.2258965914
Median Absolute Deviation (MAD)0.08340000361
Skewness1.240185499
Sum34898.9903
Variance0.02104444243
MonotonicityNot monotonic
2025-03-25T05:06:19.762541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.1667000055 63607
20.7%
0.3332999945 33279
 
10.8%
0.04170000181 14832
 
4.8%
0.375 8207
 
2.7%
0.125 7079
 
2.3%
0.08330000192 6657
 
2.2%
0.4582999945 3089
 
1.0%
0 2995
 
1.0%
0.625 2042
 
0.7%
0.5417000055 1860
 
0.6%
Other values (39) 10844
 
3.5%
(Missing) 153020
49.8%
ValueCountFrequency (%)
0 2995
 
1.0%
0.02080000006 126
 
< 0.1%
0.04170000181 14832
4.8%
0.0625 132
 
< 0.1%
0.08330000192 6657
2.2%
ValueCountFrequency (%)
1 170
0.1%
0.9792000055 1
 
< 0.1%
0.9582999945 95
< 0.1%
0.9375 4
 
< 0.1%
0.9167000055 37
 
< 0.1%

FLOORSMIN_MEDI
Real number (ℝ)

Missing 

Distinct47
Distinct (%)< 0.1%
Missing208642
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.231624937
Minimum0
Maximum1
Zeros2351
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:19.841686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04170000181
Q10.08330000192
median0.2082999945
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2916999981

Descriptive statistics

Standard deviation0.1619335413
Coefficient of variation (CV)0.6991196345
Kurtosis1.346574068
Mean0.231624937
Median Absolute Deviation (MAD)0.1665999889
Skewness0.960226655
Sum22900.5259
Variance0.02622247301
MonotonicityNot monotonic
2025-03-25T05:06:19.920279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.2082999945 33737
 
11.0%
0.375 18538
 
6.0%
0.04170000181 18090
 
5.9%
0.08330000192 5131
 
1.7%
0.4167000055 4068
 
1.3%
0.1667000055 3570
 
1.2%
0.125 3373
 
1.1%
0 2351
 
0.8%
0.5 1835
 
0.6%
0.6667000055 1261
 
0.4%
Other values (37) 6915
 
2.2%
(Missing) 208642
67.8%
ValueCountFrequency (%)
0 2351
 
0.8%
0.02080000006 50
 
< 0.1%
0.04170000181 18090
5.9%
0.0625 51
 
< 0.1%
0.08330000192 5131
 
1.7%
ValueCountFrequency (%)
1 147
< 0.1%
0.9792000055 5
 
< 0.1%
0.9582999945 14
 
< 0.1%
0.9167000055 130
< 0.1%
0.875 16
 
< 0.1%

LANDAREA_MEDI
Real number (ℝ)

Missing  Zeros 

Distinct3560
Distinct (%)2.8%
Missing182590
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06716874908
Minimum0
Maximum1
Zeros15919
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:20.002751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0186999999
median0.04870000109
Q30.08680000156
95-th percentile0.1976000071
Maximum1
Range1
Interquartile range (IQR)0.06810000166

Descriptive statistics

Standard deviation0.08216700703
Coefficient of variation (CV)1.223292203
Kurtosis33.23797607
Mean0.06716874908
Median Absolute Deviation (MAD)0.03270000219
Skewness4.368291855
Sum8390.787304
Variance0.006751417648
MonotonicityNot monotonic
2025-03-25T05:06:20.084124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15919
 
5.2%
0.01930000074 197
 
0.1%
0.06419999897 194
 
0.1%
0.04820000008 186
 
0.1%
0.01429999992 180
 
0.1%
0.01610000059 180
 
0.1%
0.08030000329 179
 
0.1%
0.02410000004 177
 
0.1%
0.03209999949 176
 
0.1%
0.01779999956 175
 
0.1%
Other values (3550) 107358
34.9%
(Missing) 182590
59.4%
ValueCountFrequency (%)
0 15919
5.2%
9.999999747 × 10-514
 
< 0.1%
0.0001999999949 13
 
< 0.1%
0.0003000000142 7
 
< 0.1%
0.0003999999899 11
 
< 0.1%
ValueCountFrequency (%)
1 135
< 0.1%
0.9947000146 3
 
< 0.1%
0.9858000278 1
 
< 0.1%
0.9661999941 1
 
< 0.1%
0.9613999724 2
 
< 0.1%

LIVINGAPARTMENTS_MEDI
Real number (ℝ)

Missing 

Distinct1097
Distinct (%)1.1%
Missing210199
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1019544733
Minimum0
Maximum1
Zeros433
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:20.161709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0103000002
Q10.0513000004
median0.07609999925
Q30.1230999976
95-th percentile0.27700001
Maximum1
Range1
Interquartile range (IQR)0.07179999724

Descriptive statistics

Standard deviation0.09364233911
Coefficient of variation (CV)0.9184720992
Kurtosis15.69705296
Mean0.1019544733
Median Absolute Deviation (MAD)0.03339999914
Skewness2.988291502
Sum9921.393705
Variance0.008768887259
MonotonicityNot monotonic
2025-03-25T05:06:20.240459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0513000004 4500
 
1.5%
0.06840000302 4497
 
1.5%
0.07699999958 2926
 
1.0%
0.05990000069 2708
 
0.9%
0.08550000191 2014
 
0.7%
0.1230999976 1921
 
0.6%
0.00680000009 1715
 
0.6%
0.06159999967 1691
 
0.5%
0.1026000008 1517
 
0.5%
0.01370000001 1487
 
0.5%
Other values (1087) 72336
 
23.5%
(Missing) 210199
68.4%
ValueCountFrequency (%)
0 433
0.1%
0.0008999999845 117
 
< 0.1%
0.001300000004 1
 
< 0.1%
0.001700000023 254
0.1%
0.002099999925 2
 
< 0.1%
ValueCountFrequency (%)
1 91
< 0.1%
0.980799973 2
 
< 0.1%
0.9653999805 4
 
< 0.1%
0.9509000182 5
 
< 0.1%
0.9312000275 5
 
< 0.1%

LIVINGAREA_MEDI
Real number (ℝ)

Missing 

Distinct5281
Distinct (%)3.4%
Missing154350
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1086067361
Minimum0
Maximum1
Zeros299
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:20.319185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00829999987
Q10.04569999874
median0.07490000129
Q30.1303000003
95-th percentile0.3255000114
Maximum1
Range1
Interquartile range (IQR)0.08460000157

Descriptive statistics

Standard deviation0.1122602522
Coefficient of variation (CV)1.033639867
Kurtosis12.1385603
Mean0.1086067361
Median Absolute Deviation (MAD)0.0393999964
Skewness2.848935366
Sum16634.3163
Variance0.01260236464
MonotonicityNot monotonic
2025-03-25T05:06:20.511150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 299
 
0.1%
0.05480000004 239
 
0.1%
0.05180000141 234
 
0.1%
0.05200000107 233
 
0.1%
0.05209999904 232
 
0.1%
0.05220000073 225
 
0.1%
0.05189999938 217
 
0.1%
0.0513000004 217
 
0.1%
0.07169999927 212
 
0.1%
0.08879999816 212
 
0.1%
Other values (5271) 150841
49.1%
(Missing) 154350
50.2%
ValueCountFrequency (%)
0 299
0.1%
9.999999747 × 10-54
 
< 0.1%
0.0001999999949 8
 
< 0.1%
0.0003000000142 10
 
< 0.1%
0.0003999999899 14
 
< 0.1%
ValueCountFrequency (%)
1 149
< 0.1%
0.9987999797 1
 
< 0.1%
0.9959999919 1
 
< 0.1%
0.9930999875 8
 
< 0.1%
0.9919000268 2
 
< 0.1%

NONLIVINGAPARTMENTS_MEDI
Real number (ℝ)

Missing  Zeros 

Distinct214
Distinct (%)0.2%
Missing213514
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008651013291
Minimum0
Maximum1
Zeros56097
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:20.610629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003899999894
95-th percentile0.03109999932
Maximum1
Range1
Interquartile range (IQR)0.003899999894

Descriptive statistics

Standard deviation0.04741473123
Coefficient of variation (CV)5.480829776
Kurtosis289.4924622
Mean0.008651013291
Median Absolute Deviation (MAD)0
Skewness15.67199516
Sum813.1692963
Variance0.002248156583
MonotonicityNot monotonic
2025-03-25T05:06:20.702929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56097
 
18.2%
0.003899999894 14126
 
4.6%
0.007799999788 6493
 
2.1%
0.01159999985 3788
 
1.2%
0.01549999975 2557
 
0.8%
0.01940000057 1696
 
0.6%
0.001900000032 1286
 
0.4%
0.02329999954 1202
 
0.4%
0.02720000036 864
 
0.3%
0.03109999932 731
 
0.2%
Other values (204) 5157
 
1.7%
(Missing) 213514
69.4%
ValueCountFrequency (%)
0 56097
18.2%
0.001900000032 1286
 
0.4%
0.003899999894 14126
 
4.6%
0.005799999926 515
 
0.2%
0.007799999788 6493
 
2.1%
ValueCountFrequency (%)
1 97
< 0.1%
0.997600019 4
 
< 0.1%
0.9937999845 1
 
< 0.1%
0.9782000184 3
 
< 0.1%
0.9627000093 2
 
< 0.1%

NONLIVINGAREA_MEDI
Real number (ℝ)

Missing  Zeros 

Distinct3323
Distinct (%)2.4%
Missing169682
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02823592062
Minimum0
Maximum1
Zeros60954
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:20.787597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003100000089
Q30.02659999952
95-th percentile0.1295000017
Maximum1
Range1
Interquartile range (IQR)0.02659999952

Descriptive statistics

Standard deviation0.07016648352
Coefficient of variation (CV)2.485007819
Kurtosis63.65403748
Mean0.02823592062
Median Absolute Deviation (MAD)0.003100000089
Skewness6.508831024
Sum3891.728704
Variance0.004923335277
MonotonicityNot monotonic
2025-03-25T05:06:20.870732image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60954
 
19.8%
0.001200000057 539
 
0.2%
0.002199999988 478
 
0.2%
0.003700000001 456
 
0.1%
0.004399999976 431
 
0.1%
0.001099999994 421
 
0.1%
0.004300000146 415
 
0.1%
0.003100000089 407
 
0.1%
0.001000000047 401
 
0.1%
0.002899999963 387
 
0.1%
Other values (3313) 72940
23.7%
(Missing) 169682
55.2%
ValueCountFrequency (%)
0 60954
19.8%
9.999999747 × 10-5154
 
0.1%
0.0001999999949 81
 
< 0.1%
0.0003000000142 86
 
< 0.1%
0.0003999999899 147
 
< 0.1%
ValueCountFrequency (%)
1 134
< 0.1%
0.996900022 1
 
< 0.1%
0.9792000055 2
 
< 0.1%
0.9789000154 1
 
< 0.1%
0.9758999944 5
 
< 0.1%

FONDKAPREMONT_MODE
Categorical

Missing 

Distinct4
Distinct (%)< 0.1%
Missing210295
Missing (%)68.4%
Memory size300.6 KiB
reg oper account
73830 
reg oper spec account
12080 
not specified
 
5687
org spec account
 
5619

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowreg oper account
2nd rowreg oper account
3rd rowreg oper account
4th rowreg oper account
5th rowreg oper account

Common Values

ValueCountFrequency (%)
reg oper account 73830
 
24.0%
reg oper spec account 12080
 
3.9%
not specified 5687
 
1.8%
org spec account 5619
 
1.8%
(Missing) 210295
68.4%

Common Values (Plot)

2025-03-25T05:06:20.929957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

HOUSETYPE_MODE
Categorical

Imbalance  Missing 

Distinct3
Distinct (%)< 0.1%
Missing154297
Missing (%)50.2%
Memory size300.6 KiB
block of flats
150503 
specific housing
 
1499
terraced house
 
1212

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowblock of flats
2nd rowblock of flats
3rd rowblock of flats
4th rowblock of flats
5th rowblock of flats

Common Values

ValueCountFrequency (%)
block of flats 150503
48.9%
specific housing 1499
 
0.5%
terraced house 1212
 
0.4%
(Missing) 154297
50.2%

Common Values (Plot)

2025-03-25T05:06:20.975513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

TOTALAREA_MODE
Real number (ℝ)

Missing 

Distinct5116
Distinct (%)3.2%
Missing148431
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1025466627
Minimum0
Maximum1
Zeros582
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:21.037532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006699999794
Q10.04120000079
median0.06880000234
Q30.1275999993
95-th percentile0.3091999888
Maximum1
Range1
Interquartile range (IQR)0.08639999852

Descriptive statistics

Standard deviation0.1074623242
Coefficient of variation (CV)1.04793585
Kurtosis12.16752911
Mean0.1025466627
Median Absolute Deviation (MAD)0.03749999404
Skewness2.797571421
Sum16313.1231
Variance0.01154815126
MonotonicityNot monotonic
2025-03-25T05:06:21.118537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
 
0.2%
0.05700000003 247
 
0.1%
0.05469999835 230
 
0.1%
0.05480000004 227
 
0.1%
0.0549999997 227
 
0.1%
0.05550000072 227
 
0.1%
0.05510000139 225
 
0.1%
0.05730000138 220
 
0.1%
0.05539999902 220
 
0.1%
0.05660000071 219
 
0.1%
Other values (5106) 156456
50.9%
(Missing) 148431
48.3%
ValueCountFrequency (%)
0 582
0.2%
9.999999747 × 10-510
 
< 0.1%
0.0001999999949 4
 
< 0.1%
0.0003000000142 24
 
< 0.1%
0.0003999999899 18
 
< 0.1%
ValueCountFrequency (%)
1 155
0.1%
0.9973000288 1
 
< 0.1%
0.9930999875 1
 
< 0.1%
0.9919999838 1
 
< 0.1%
0.9789999723 2
 
< 0.1%

WALLSMATERIAL_MODE
Categorical

Missing 

Distinct7
Distinct (%)< 0.1%
Missing156341
Missing (%)50.8%
Memory size300.8 KiB
Panel
66040 
Stone, brick
64815 
Block
9253 
Wooden
 
5362
Mixed
 
2296
Other values (2)
 
3404

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStone, brick
2nd rowBlock
3rd rowPanel
4th rowPanel
5th rowStone, brick

Common Values

ValueCountFrequency (%)
Panel 66040
21.5%
Stone, brick 64815
21.1%
Block 9253
 
3.0%
Wooden 5362
 
1.7%
Mixed 2296
 
0.7%
Monolithic 1779
 
0.6%
Others 1625
 
0.5%
(Missing) 156341
50.8%

Common Values (Plot)

2025-03-25T05:06:21.182032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

EMERGENCYSTATE_MODE
Categorical

Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing145755
Missing (%)47.4%
Memory size300.6 KiB
No
159428 
Yes
 
2328

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No 159428
51.8%
Yes 2328
 
0.8%
(Missing) 145755
47.4%

Common Values (Plot)

2025-03-25T05:06:21.230592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

OBS_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Zeros 

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.422245424
Minimum0
Maximum348
Zeros163910
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:21.276039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum348
Range348
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.400988817
Coefficient of variation (CV)1.688167722
Kurtosis1424.815674
Mean1.422245424
Median Absolute Deviation (MAD)0
Skewness12.13959885
Sum435904
Variance5.764747143
MonotonicityNot monotonic
2025-03-25T05:06:21.343070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 163910
53.3%
1 48783
 
15.9%
2 29808
 
9.7%
3 20322
 
6.6%
4 14143
 
4.6%
5 9553
 
3.1%
6 6453
 
2.1%
7 4390
 
1.4%
8 2967
 
1.0%
9 2003
 
0.7%
Other values (23) 4158
 
1.4%
ValueCountFrequency (%)
0 163910
53.3%
1 48783
 
15.9%
2 29808
 
9.7%
3 20322
 
6.6%
4 14143
 
4.6%
ValueCountFrequency (%)
348 1
< 0.1%
47 1
< 0.1%
30 2
< 0.1%
29 1
< 0.1%
28 1
< 0.1%

DEF_30_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Zeros 

Distinct10
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1434206663
Minimum0
Maximum34
Zeros271324
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:21.404656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4466983974
Coefficient of variation (CV)3.114602721
Kurtosis126.3124466
Mean0.1434206663
Median Absolute Deviation (MAD)0
Skewness5.183517933
Sum43957
Variance0.1995394677
MonotonicityNot monotonic
2025-03-25T05:06:21.479459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 271324
88.2%
1 28328
 
9.2%
2 5323
 
1.7%
3 1192
 
0.4%
4 253
 
0.1%
5 56
 
< 0.1%
6 11
 
< 0.1%
7 1
 
< 0.1%
34 1
 
< 0.1%
8 1
 
< 0.1%
(Missing) 1021
 
0.3%
ValueCountFrequency (%)
0 271324
88.2%
1 28328
 
9.2%
2 5323
 
1.7%
3 1192
 
0.4%
4 253
 
0.1%
ValueCountFrequency (%)
34 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 11
 
< 0.1%
5 56
< 0.1%

OBS_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Zeros 

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.405292179
Minimum0
Maximum344
Zeros164666
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:21.544693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum344
Range344
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.379803419
Coefficient of variation (CV)1.693458097
Kurtosis1409.704346
Mean1.405292179
Median Absolute Deviation (MAD)0
Skewness12.07082748
Sum430708
Variance5.663464069
MonotonicityNot monotonic
2025-03-25T05:06:21.616530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 164666
53.5%
1 48870
 
15.9%
2 29766
 
9.7%
3 20215
 
6.6%
4 13946
 
4.5%
5 9463
 
3.1%
6 6349
 
2.1%
7 4344
 
1.4%
8 2886
 
0.9%
9 1959
 
0.6%
Other values (23) 4026
 
1.3%
ValueCountFrequency (%)
0 164666
53.5%
1 48870
 
15.9%
2 29766
 
9.7%
3 20215
 
6.6%
4 13946
 
4.5%
ValueCountFrequency (%)
344 1
< 0.1%
47 1
< 0.1%
30 1
< 0.1%
29 2
< 0.1%
28 1
< 0.1%

DEF_60_CNT_SOCIAL_CIRCLE
Real number (ℝ)

Zeros 

Distinct9
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1000489412
Minimum0
Maximum24
Zeros280721
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:21.675020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3622907996
Coefficient of variation (CV)3.621135768
Kurtosis86.56286621
Mean0.1000489412
Median Absolute Deviation (MAD)0
Skewness5.277878284
Sum30664
Variance0.1312546283
MonotonicityNot monotonic
2025-03-25T05:06:21.728306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 280721
91.3%
1 21841
 
7.1%
2 3170
 
1.0%
3 598
 
0.2%
4 135
 
< 0.1%
5 20
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
24 1
 
< 0.1%
(Missing) 1021
 
0.3%
ValueCountFrequency (%)
0 280721
91.3%
1 21841
 
7.1%
2 3170
 
1.0%
3 598
 
0.2%
4 135
 
< 0.1%
ValueCountFrequency (%)
24 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 20
 
< 0.1%
4 135
< 0.1%

DAYS_LAST_PHONE_CHANGE
Real number (ℝ)

Zeros 

Distinct3773
Distinct (%)1.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-962.8587883
Minimum-4292
Maximum0
Zeros37672
Zeros (%)12.3%
Negative269838
Negative (%)87.7%
Memory size1.2 MiB
2025-03-25T05:06:21.795951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4292
5-th percentile-2522
Q1-1570
median-757
Q3-274
95-th percentile0
Maximum0
Range4292
Interquartile range (IQR)1296

Descriptive statistics

Standard deviation826.8085327
Coefficient of variation (CV)-0.8587017564
Kurtosis-0.3085799813
Mean-962.8587883
Median Absolute Deviation (MAD)627
Skewness-0.7136057019
Sum-296088706
Variance683612.3125
MonotonicityNot monotonic
2025-03-25T05:06:21.870525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37672
 
12.3%
-1 2812
 
0.9%
-2 2318
 
0.8%
-3 1763
 
0.6%
-4 1285
 
0.4%
-5 824
 
0.3%
-6 537
 
0.2%
-7 442
 
0.1%
-8 278
 
0.1%
-476 222
 
0.1%
Other values (3763) 259357
84.3%
ValueCountFrequency (%)
-4292 1
< 0.1%
-4185 1
< 0.1%
-4173 1
< 0.1%
-4153 1
< 0.1%
-4131 1
< 0.1%
ValueCountFrequency (%)
0 37672
12.3%
-1 2812
 
0.9%
-2 2318
 
0.8%
-3 1763
 
0.6%
-4 1285
 
0.4%

FLAG_DOCUMENT_2
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.227491049 × 10-5
Minimum0
Maximum1
Zeros307498
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:21.926077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.006501789045
Coefficient of variation (CV)153.7978193
Kurtosis23650.07691
Mean4.227491049 × 10-5
Median Absolute Deviation (MAD)0
Skewness153.7918174
Sum13
Variance4.227326079 × 10-5
MonotonicityNot monotonic
2025-03-25T05:06:21.976689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307498
> 99.9%
1 13
 
< 0.1%
ValueCountFrequency (%)
0 307498
> 99.9%
1 13
 
< 0.1%
ValueCountFrequency (%)
1 13
 
< 0.1%
0 307498
> 99.9%

FLAG_DOCUMENT_3
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7100233813
Minimum0
Maximum1
Zeros89171
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:22.022830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4537519684
Coefficient of variation (CV)0.6390662342
Kurtosis-1.143040848
Mean0.7100233813
Median Absolute Deviation (MAD)0
Skewness-0.9257248975
Sum218340
Variance0.2058908489
MonotonicityNot monotonic
2025-03-25T05:06:22.068379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 218340
71.0%
0 89171
29.0%
ValueCountFrequency (%)
0 89171
29.0%
1 218340
71.0%
ValueCountFrequency (%)
1 218340
71.0%
0 89171
29.0%

FLAG_DOCUMENT_4
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.129790479 × 10-5
Minimum0
Maximum1
Zeros307486
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:22.111016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009016183217
Coefficient of variation (CV)110.9030207
Kurtosis12295.64002
Mean8.129790479 × 10-5
Median Absolute Deviation (MAD)0
Skewness110.8943644
Sum25
Variance8.129155979 × 10-5
MonotonicityNot monotonic
2025-03-25T05:06:22.158572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307486
> 99.9%
1 25
 
< 0.1%
ValueCountFrequency (%)
0 307486
> 99.9%
1 25
 
< 0.1%
ValueCountFrequency (%)
1 25
 
< 0.1%
0 307486
> 99.9%

FLAG_DOCUMENT_5
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01511490646
Minimum0
Maximum1
Zeros302863
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:22.206122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1220102228
Coefficient of variation (CV)8.072178491
Kurtosis61.17621478
Mean0.01511490646
Median Absolute Deviation (MAD)0
Skewness7.94832164
Sum4648
Variance0.01488649447
MonotonicityNot monotonic
2025-03-25T05:06:22.254672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 302863
98.5%
1 4648
 
1.5%
ValueCountFrequency (%)
0 302863
98.5%
1 4648
 
1.5%
ValueCountFrequency (%)
1 4648
 
1.5%
0 302863
98.5%

FLAG_DOCUMENT_6
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08805538664
Minimum0
Maximum1
Zeros280433
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:22.300736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2833758929
Coefficient of variation (CV)3.218155114
Kurtosis6.453170922
Mean0.08805538664
Median Absolute Deviation (MAD)0
Skewness2.907426517
Sum27078
Variance0.08030189666
MonotonicityNot monotonic
2025-03-25T05:06:22.348285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 280433
91.2%
1 27078
 
8.8%
ValueCountFrequency (%)
0 280433
91.2%
1 27078
 
8.8%
ValueCountFrequency (%)
1 27078
 
8.8%
0 280433
91.2%

FLAG_DOCUMENT_7
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0001918630553
Minimum0
Maximum1
Zeros307452
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:22.398015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01385015768
Coefficient of variation (CV)72.18772606
Kurtosis5207.135724
Mean0.0001918630553
Median Absolute Deviation (MAD)0
Skewness72.17410795
Sum59
Variance0.0001918268677
MonotonicityNot monotonic
2025-03-25T05:06:22.446354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307452
> 99.9%
1 59
 
< 0.1%
ValueCountFrequency (%)
0 307452
> 99.9%
1 59
 
< 0.1%
ValueCountFrequency (%)
1 59
 
< 0.1%
0 307452
> 99.9%

FLAG_DOCUMENT_8
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08137595078
Minimum0
Maximum1
Zeros282487
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:22.615385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2734120489
Coefficient of variation (CV)3.359863035
Kurtosis7.377366974
Mean0.08137595078
Median Absolute Deviation (MAD)0
Skewness3.062240845
Sum25024
Variance0.07475414851
MonotonicityNot monotonic
2025-03-25T05:06:22.684133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 282487
91.9%
1 25024
 
8.1%
ValueCountFrequency (%)
0 282487
91.9%
1 25024
 
8.1%
ValueCountFrequency (%)
1 25024
 
8.1%
0 282487
91.9%

FLAG_DOCUMENT_9
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003895795598
Minimum0
Maximum1
Zeros306313
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.082953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0622947108
Coefficient of variation (CV)15.99024108
Kurtosis251.6950013
Mean0.003895795598
Median Absolute Deviation (MAD)0
Skewness15.92775453
Sum1198
Variance0.003880630994
MonotonicityNot monotonic
2025-03-25T05:06:23.132814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306313
99.6%
1 1198
 
0.4%
ValueCountFrequency (%)
0 306313
99.6%
1 1198
 
0.4%
ValueCountFrequency (%)
1 1198
 
0.4%
0 306313
99.6%

FLAG_DOCUMENT_10
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.276341334 × 10-5
Minimum0
Maximum1
Zeros307504
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.183296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004771055354
Coefficient of variation (CV)209.5931433
Kurtosis43925.85711
Mean2.276341334 × 10-5
Median Absolute Deviation (MAD)0
Skewness209.5890537
Sum7
Variance2.276296919 × 10-5
MonotonicityNot monotonic
2025-03-25T05:06:23.231374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307504
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
0 307504
> 99.9%
1 7
 
< 0.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
0 307504
> 99.9%

FLAG_DOCUMENT_11
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003912055179
Minimum0
Maximum1
Zeros306308
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.281823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06242406327
Coefficient of variation (CV)15.95684632
Kurtosis250.6281384
Mean0.003912055179
Median Absolute Deviation (MAD)0
Skewness15.89422878
Sum1203
Variance0.003896763675
MonotonicityNot monotonic
2025-03-25T05:06:23.337891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306308
99.6%
1 1203
 
0.4%
ValueCountFrequency (%)
0 306308
99.6%
1 1203
 
0.4%
ValueCountFrequency (%)
1 1203
 
0.4%
0 306308
99.6%

FLAG_DOCUMENT_12
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.503832383 × 10-6
Minimum0
Maximum1
Zeros307509
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.389132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002550257092
Coefficient of variation (CV)392.1160542
Kurtosis153753
Mean6.503832383 × 10-6
Median Absolute Deviation (MAD)0
Skewness392.1147791
Sum2
Variance6.503811233 × 10-6
MonotonicityNot monotonic
2025-03-25T05:06:23.440660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307509
> 99.9%
1 2
 
< 0.1%
ValueCountFrequency (%)
0 307509
> 99.9%
1 2
 
< 0.1%
ValueCountFrequency (%)
1 2
 
< 0.1%
0 307509
> 99.9%

FLAG_DOCUMENT_13
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003525077152
Minimum0
Maximum1
Zeros306427
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.495764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05926771807
Coefficient of variation (CV)16.81316905
Kurtosis278.6898227
Mean0.003525077152
Median Absolute Deviation (MAD)0
Skewness16.75374615
Sum1084
Variance0.003512662406
MonotonicityNot monotonic
2025-03-25T05:06:23.548118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306427
99.6%
1 1084
 
0.4%
ValueCountFrequency (%)
0 306427
99.6%
1 1084
 
0.4%
ValueCountFrequency (%)
1 1084
 
0.4%
0 306427
99.6%

FLAG_DOCUMENT_14
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002936480321
Minimum0
Maximum1
Zeros306608
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.599279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05410976738
Coefficient of variation (CV)18.42674272
Kurtosis335.5521636
Mean0.002936480321
Median Absolute Deviation (MAD)0
Skewness18.37253334
Sum903
Variance0.002927866926
MonotonicityNot monotonic
2025-03-25T05:06:23.652334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 306608
99.7%
1 903
 
0.3%
ValueCountFrequency (%)
0 306608
99.7%
1 903
 
0.3%
ValueCountFrequency (%)
1 903
 
0.3%
0 306608
99.7%

FLAG_DOCUMENT_15
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001209712823
Minimum0
Maximum1
Zeros307139
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.702396image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03475993883
Coefficient of variation (CV)28.7340418
Kurtosis821.6570635
Mean0.001209712823
Median Absolute Deviation (MAD)0
Skewness28.69933309
Sum372
Variance0.001208253347
MonotonicityNot monotonic
2025-03-25T05:06:23.752661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307139
99.9%
1 372
 
0.1%
ValueCountFrequency (%)
0 307139
99.9%
1 372
 
0.1%
ValueCountFrequency (%)
1 372
 
0.1%
0 307139
99.9%

FLAG_DOCUMENT_16
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009928100133
Minimum0
Maximum1
Zeros304458
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.799417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09914416234
Coefficient of variation (CV)9.986217001
Kurtosis95.73580948
Mean0.009928100133
Median Absolute Deviation (MAD)0
Skewness9.886110804
Sum3053
Variance0.009829564926
MonotonicityNot monotonic
2025-03-25T05:06:23.850677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 304458
99.0%
1 3053
 
1.0%
ValueCountFrequency (%)
0 304458
99.0%
1 3053
 
1.0%
ValueCountFrequency (%)
1 3053
 
1.0%
0 304458
99.0%

FLAG_DOCUMENT_17
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002666571277
Minimum0
Maximum1
Zeros307429
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:23.902907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01632748874
Coefficient of variation (CV)61.23027305
Kurtosis3745.195328
Mean0.0002666571277
Median Absolute Deviation (MAD)0
Skewness61.21414027
Sum82
Variance0.0002665868886
MonotonicityNot monotonic
2025-03-25T05:06:23.955796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307429
> 99.9%
1 82
 
< 0.1%
ValueCountFrequency (%)
0 307429
> 99.9%
1 82
 
< 0.1%
ValueCountFrequency (%)
1 82
 
< 0.1%
0 307429
> 99.9%

FLAG_DOCUMENT_18
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008129790479
Minimum0
Maximum1
Zeros305011
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:24.006866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08979823611
Coefficient of variation (CV)11.04557815
Kurtosis118.0145348
Mean0.008129790479
Median Absolute Deviation (MAD)0
Skewness10.95507952
Sum2500
Variance0.008063723208
MonotonicityNot monotonic
2025-03-25T05:06:24.054002image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 305011
99.2%
1 2500
 
0.8%
ValueCountFrequency (%)
0 305011
99.2%
1 2500
 
0.8%
ValueCountFrequency (%)
1 2500
 
0.8%
0 305011
99.2%

FLAG_DOCUMENT_19
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005951006631
Minimum0
Maximum1
Zeros307328
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:24.114779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02438746507
Coefficient of variation (CV)40.98040311
Kurtosis1675.415835
Mean0.0005951006631
Median Absolute Deviation (MAD)0
Skewness40.95613431
Sum183
Variance0.0005947484523
MonotonicityNot monotonic
2025-03-25T05:06:24.165335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307328
99.9%
1 183
 
0.1%
ValueCountFrequency (%)
0 307328
99.9%
1 183
 
0.1%
ValueCountFrequency (%)
1 183
 
0.1%
0 307328
99.9%

FLAG_DOCUMENT_20
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0005072989259
Minimum0
Maximum1
Zeros307355
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:24.211951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02251762027
Coefficient of variation (CV)44.38728158
Kurtosis1966.256856
Mean0.0005072989259
Median Absolute Deviation (MAD)0
Skewness44.3648968
Sum156
Variance0.0005070432226
MonotonicityNot monotonic
2025-03-25T05:06:24.258174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307355
99.9%
1 156
 
0.1%
ValueCountFrequency (%)
0 307355
99.9%
1 156
 
0.1%
ValueCountFrequency (%)
1 156
 
0.1%
0 307355
99.9%

FLAG_DOCUMENT_21
Real number (ℝ)

Skewed  Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003349473677
Minimum0
Maximum1
Zeros307408
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size300.4 KiB
2025-03-25T05:06:24.302722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01829853182
Coefficient of variation (CV)54.63106621
Kurtosis2980.592507
Mean0.0003349473677
Median Absolute Deviation (MAD)0
Skewness54.61293914
Sum103
Variance0.0003348362669
MonotonicityNot monotonic
2025-03-25T05:06:24.347763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 307408
> 99.9%
1 103
 
< 0.1%
ValueCountFrequency (%)
0 307408
> 99.9%
1 103
 
< 0.1%
ValueCountFrequency (%)
1 103
 
< 0.1%
0 307408
> 99.9%

AMT_REQ_CREDIT_BUREAU_HOUR
Real number (ℝ)

Missing  Zeros 

Distinct5
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.006402448194
Minimum0
Maximum4
Zeros264366
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:24.406316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08384913951
Coefficient of variation (CV)13.09641827
Kurtosis254.2436066
Mean0.006402448194
Median Absolute Deviation (MAD)0
Skewness14.53406143
Sum1703
Variance0.007030677982
MonotonicityNot monotonic
2025-03-25T05:06:24.510789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 264366
86.0%
1 1560
 
0.5%
2 56
 
< 0.1%
3 9
 
< 0.1%
4 1
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 264366
86.0%
1 1560
 
0.5%
2 56
 
< 0.1%
3 9
 
< 0.1%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 9
 
< 0.1%
2 56
 
< 0.1%
1 1560
 
0.5%
0 264366
86.0%

AMT_REQ_CREDIT_BUREAU_DAY
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct9
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.007000210533
Minimum0
Maximum9
Zeros264503
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:24.622127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1107574031
Coefficient of variation (CV)15.82201029
Kurtosis1151.867554
Mean0.007000210533
Median Absolute Deviation (MAD)0
Skewness27.04350471
Sum1862
Variance0.01226720214
MonotonicityNot monotonic
2025-03-25T05:06:24.717966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 264503
86.0%
1 1292
 
0.4%
2 106
 
< 0.1%
3 45
 
< 0.1%
4 26
 
< 0.1%
5 9
 
< 0.1%
6 8
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 264503
86.0%
1 1292
 
0.4%
2 106
 
< 0.1%
3 45
 
< 0.1%
4 26
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 1
 
< 0.1%
6 8
 
< 0.1%
5 9
 
< 0.1%
4 26
< 0.1%

AMT_REQ_CREDIT_BUREAU_WEEK
Real number (ℝ)

Missing  Zeros 

Distinct9
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.0343619357
Minimum0
Maximum8
Zeros257456
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:24.795097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2046848834
Coefficient of variation (CV)5.956733205
Kurtosis166.752243
Mean0.0343619357
Median Absolute Deviation (MAD)0
Skewness9.293572426
Sum9140
Variance0.04189590365
MonotonicityNot monotonic
2025-03-25T05:06:24.855201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 257456
83.7%
1 8208
 
2.7%
2 199
 
0.1%
3 58
 
< 0.1%
4 34
 
< 0.1%
6 20
 
< 0.1%
5 10
 
< 0.1%
8 5
 
< 0.1%
7 2
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 257456
83.7%
1 8208
 
2.7%
2 199
 
0.1%
3 58
 
< 0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
8 5
 
< 0.1%
7 2
 
< 0.1%
6 20
< 0.1%
5 10
 
< 0.1%
4 34
< 0.1%

AMT_REQ_CREDIT_BUREAU_MON
Real number (ℝ)

Missing  Zeros 

Distinct24
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.26739526
Minimum0
Maximum27
Zeros222233
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:24.914346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9160023928
Coefficient of variation (CV)3.425649328
Kurtosis90.43486023
Mean0.26739526
Median Absolute Deviation (MAD)0
Skewness7.804848194
Sum71125
Variance0.8390604258
MonotonicityNot monotonic
2025-03-25T05:06:24.981153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 222233
72.3%
1 33147
 
10.8%
2 5386
 
1.8%
3 1991
 
0.6%
4 1076
 
0.3%
5 602
 
0.2%
6 343
 
0.1%
7 298
 
0.1%
9 206
 
0.1%
8 185
 
0.1%
Other values (14) 525
 
0.2%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 222233
72.3%
1 33147
 
10.8%
2 5386
 
1.8%
3 1991
 
0.6%
4 1076
 
0.3%
ValueCountFrequency (%)
27 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
19 3
< 0.1%

AMT_REQ_CREDIT_BUREAU_QRT
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct11
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.2654741496
Minimum0
Maximum261
Zeros215417
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:25.042147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum261
Range261
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7940556407
Coefficient of variation (CV)2.991084601
Kurtosis43707.46094
Mean0.2654741496
Median Absolute Deviation (MAD)0
Skewness134.3657684
Sum70614
Variance0.6305243969
MonotonicityNot monotonic
2025-03-25T05:06:25.094730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 215417
70.1%
1 33862
 
11.0%
2 14412
 
4.7%
3 1717
 
0.6%
4 476
 
0.2%
5 64
 
< 0.1%
6 28
 
< 0.1%
8 7
 
< 0.1%
7 7
 
< 0.1%
261 1
 
< 0.1%
(Missing) 41519
 
13.5%
ValueCountFrequency (%)
0 215417
70.1%
1 33862
 
11.0%
2 14412
 
4.7%
3 1717
 
0.6%
4 476
 
0.2%
ValueCountFrequency (%)
261 1
 
< 0.1%
19 1
 
< 0.1%
8 7
 
< 0.1%
7 7
 
< 0.1%
6 28
< 0.1%

AMT_REQ_CREDIT_BUREAU_YEAR
Real number (ℝ)

Missing  Zeros 

Distinct25
Distinct (%)< 0.1%
Missing41519
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean1.899974435
Minimum0
Maximum25
Zeros71801
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2025-03-25T05:06:25.156208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.869295001
Coefficient of variation (CV)0.9838527121
Kurtosis1.969033957
Mean1.899974435
Median Absolute Deviation (MAD)1
Skewness1.243589997
Sum505378
Variance3.494263649
MonotonicityNot monotonic
2025-03-25T05:06:25.221892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 71801
23.3%
1 63405
20.6%
2 50192
16.3%
3 33628
10.9%
4 20714
 
6.7%
5 12052
 
3.9%
6 6967
 
2.3%
7 3869
 
1.3%
8 2127
 
0.7%
9 1096
 
0.4%
Other values (15) 141
 
< 0.1%
(Missing) 41519
13.5%
ValueCountFrequency (%)
0 71801
23.3%
1 63405
20.6%
2 50192
16.3%
3 33628
10.9%
4 20714
 
6.7%
ValueCountFrequency (%)
25 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%